Microsoft Azure Data Engineer Associate DP-203 Dumps V18.02 – Updated on August 19, 2023 to Help You Prepare Well

1. Topic 1, Contoso Case

Case Study

Transactional Date

Contoso has three years of customer, transactional, operation, sourcing, and supplier data comprised of 10 billion records stored across multiple on-premises Microsoft SQL Server servers. The SQL server instances contain data from various operational systems. The data is loaded into the instances by using SQL server integration Services (SSIS) packages.

You estimate that combining all product sales transactions into a company-wide sales transactions dataset will result in a single table that contains 5 billion rows, with one row per transaction.

Most queries targeting the sales transactions data will be used to identify which products were sold in retail stores and which products were sold online during different time period. Sales transaction data that is older than three years will be removed monthly.

You plan to create a retail store table that will contain the address of each retail store. The table will be approximately 2 MB. Queries for retail store sales will include the retail store addresses.

You plan to create a promotional table that will contain a promotion ID. The promotion ID will be associated to a specific product. The product will be identified by a product ID. The table will be approximately 5 GB.

Streaming Twitter Data

The ecommerce department at Contoso develops and Azure logic app that captures trending Twitter feeds referencing the company’s products and pushes the products to Azure Event Hubs.

Planned Changes

Contoso plans to implement the following changes:

* Load the sales transaction dataset to Azure Synapse Analytics.

* Integrate on-premises data stores with Azure Synapse Analytics by using SSIS packages.

* Use Azure Synapse Analytics to analyze Twitter feeds to assess customer sentiments about products.

Sales Transaction Dataset Requirements

Contoso identifies the following requirements for the sales transaction dataset:

• Partition data that contains sales transaction records. Partitions must be designed to provide efficient loads by month. Boundary values must belong: to the partition on the right.

• Ensure that queries joining and filtering sales transaction records based on product ID complete as quickly as possible.

• Implement a surrogate key to account for changes to the retail store addresses.

• Ensure that data storage costs and performance are predictable.

• Minimize how long it takes to remove old records. Customer Sentiment Analytics Requirement

Contoso identifies the following requirements for customer sentiment analytics:

• Allow Contoso users to use PolyBase in an Aure Synapse Analytics dedicated SQL pool to query the content of the data records that host the Twitter feeds. Data must be protected by using row-level security (RLS). The users must be authenticated by using their own AureAD credentials.

• Maximize the throughput of ingesting Twitter feeds from Event Hubs to Azure Storage

without purchasing additional throughput or capacity units.

• Store Twitter feeds in Azure Storage by using Event Hubs Capture. The feeds will be converted into Parquet files.

• Ensure that the data store supports Azure AD-based access control down to the object level.

• Minimize administrative effort to maintain the Twitter feed data records.

• Purge Twitter feed data records;itftaitJ are older than two years.

Data Integration Requirements

Contoso identifies the following requirements for data integration:

Use an Azure service that leverages the existing SSIS packages to ingest on-premises data into datasets stored in a dedicated SQL pool of Azure Synaps Analytics and transform the data.

Identify a process to ensure that changes to the ingestion and transformation activities can be version controlled and developed independently by multiple data engineers.

HOTSPOT

You need to design an analytical storage solution for the transactional data. The solution must meet the sales transaction dataset requirements.

What should you include in the solution? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

2. You need to integrate the on-premises data sources and Azure Synapse Analytics. The solution must meet the data integration requirements.

Which type of integration runtime should you use?

3. You need to implement the surrogate key for the retail store table. The solution must meet the sales transaction dataset requirements.

What should you create?

4. DRAG DROP

You need to ensure that the Twitter feed data can be analyzed in the dedicated SQL pool.

The solution must meet the customer sentiment analytics requirements.

Which three Transaction-SQL DDL commands should you run in sequence? To answer, move the appropriate commands from the list of commands to the answer area and arrange them in the correct order. NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.

5. You need to design a data retention solution for the Twitter teed data records. The solution must meet the customer sentiment analytics requirements.

Which Azure Storage functionality should you include in the solution?

6. HOTSPOT

You need to design a data storage structure for the product sales transactions. The solution must meet the sales transaction dataset requirements.

What should you include in the solution? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

7. DRAG DROP

You need to implement versioned changes to the integration pipelines. The solution must meet the data integration requirements.

In which order should you perform the actions? To answer, move all actions from the list of actions to the answer area and arrange them in the correct order.

8. You need to design a data retention solution for the Twitter feed data records. The solution must meet the customer sentiment analytics requirements.

Which Azure Storage functionality should you include in the solution?

9. HOTSPOT

You need to design a data ingestion and storage solution for the Twitter feeds. The solution must meet the customer sentiment analytics requirements.

What should you include in the solution? To answer, select the appropriate options in the answer area. NOTE: Each correct selection b worth one point.

10. HOTSPOT

You need to design the partitions for the product sales transactions. The solution must meet the sales transaction dataset requirements.

What should you include in the solution? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

11. HOTSPOT

You need to implement an Azure Synapse Analytics database object for storing the sales transactions data. The solution must meet the sales transaction dataset requirements.

What solution must meet the sales transaction dataset requirements.

What should you do? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

12. What should you recommend using to secure sensitive customer contact information?

13. What should you do to improve high availability of the real-time data processing solution?

14. HOTSPOT

Which Azure Data Factory components should you recommend using together to import the daily inventory data from the SQL server to Azure Data Lake Storage? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

15. What should you recommend to prevent users outside the Litware on-premises network from accessing the analytical data store?

16. Topic 3, Mix Questions

You have an Azure Synapse Analytics dedicated SQL pool that contains a table named Table1.

You have files that are ingested and loaded into an Azure Data Lake Storage Gen2 container named container1.

You plan to insert data from the files into Table1 and azure Data Lake Storage Gen2 container named container1.

You plan to insert data from the files into Table1 and transform the data. Each row of data in the files will produce one row in the serving layer of Table1.

You need to ensure that when the source data files are loaded to container1, the DateTime is stored as an additional column in Table1.

Solution: In an Azure Synapse Analytics pipeline, you use a data flow that contains a Derived Column transformation.

17. DRAG DROP

You use PySpark in Azure Databricks to parse the following JSON input.

You need to output the data in the following tabular format.

How should you complete the PySpark code? To answer, drag the appropriate values to he correct targets. Each value may be used once, more than once or not at all. You may need to drag the split bar between panes or scroll to view content. NOTE: Each correct selection is worth one point.

18. You have a SQL pool in Azure Synapse.

You discover that some queries fail or take a long time to complete.

You need to monitor for transactions that have rolled back.

Which dynamic management view should you query?

19. HOTSPOT

You are processing streaming data from vehicles that pass through a toll booth.

You need to use Azure Stream Analytics to return the license plate, vehicle make, and hour the last vehicle passed during each 10-minute window.

How should you complete the query? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

20. You have an Azure Databricks workspace named workspace! in the Standard pricing tier. Workspace1 contains an all-purpose cluster named cluster). You need to reduce the time it takes for cluster 1 to start and scale up. The solution must minimize costs.

What should you do first?

21. HOTSPOT

You have an Azure Storage account that generates 200,000 new files daily. The file names have a format of {YYYY}/{MM}/{DD}/{HH}/{CustomerID}.csv.

You need to design an Azure Data Factory solution that will load new data from the storage account to an Azure Data Lake once hourly. The solution must minimize load times and costs.

How should you configure the solution? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

22. You have an Azure Synapse Analytics dedicated SQL pool that contains a table named Table1.

You have files that are ingested and loaded into an Azure Data Lake Storage Gen2 container named container1.

You plan to insert data from the files into Table1 and azure Data Lake Storage Gen2 container named container1.

You plan to insert data from the files into Table1 and transform the data. Each row of data in the files will produce one row in the serving layer of Table1.

You need to ensure that when the source data files are loaded to container1, the DateTime is stored as an additional column in Table1.

Solution: In an Azure Synapse Analytics pipeline, you use a Get Metadata activity that retrieves the DateTime of the files.

Does this meet the goal?

23. Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.

After you answer a question in this scenario, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

You have an Azure Storage account that contains 100 GB of files. The files contain text and numerical values. 75% of the rows contain description data that has an average length of 1.1 MB.

You plan to copy the data from the storage account to an Azure SQL data warehouse.

You need to prepare the files to ensure that the data copies quickly.

Solution: You modify the files to ensure that each row is less than 1 MB.

Does this meet the goal?

24. You have an Azure Synapse Analytics dedicated SQL pool that contains a table named Table1.

Table1 contains the following:

✑ One billion rows

✑ A clustered columnstore index

✑ A hash-distributed column named Product Key

✑ A column named Sales Date that is of the date data type and cannot be null

Thirty million rows will be added to Table1 each month.

You need to partition Table1 based on the Sales Date column. The solution must optimize query performance and data loading.

How often should you create a partition?

25. You have an Azure Data Lake Storage account that contains a staging zone.

You need to design a dairy process to ingest incremental data from the staging zone, transform the data by executing an R script, and then insert the transformed data into a data warehouse in Azure Synapse Analytics.

Solution: You use an Azure Data Factory schedule trigger to execute a pipeline that copies the data to a staging table in the data warehouse, and then uses a stored procedure to execute the R script.

Does this meet the goal?

26. You have an Azure Synapse Analytics dedicated SQL pool.

You need to Create a fact table named Table1 that will store sales data from the last three years.

The solution must be optimized for the following query operations:

Show order counts by week.

• Calculate sales totals by region.

• Calculate sales totals by product.

• Find all the orders from a given month.

Which data should you use to partition Table1?

27. You have two Azure Data Factory instances named ADFdev and ADFprod. ADFdev connects to an Azure DevOps Git repository.

You publish changes from the main branch of the Git repository to ADFdev.

You need to deploy the artifacts from ADFdev to ADFprod.

What should you do first?

28. HOTSPOT

You have an Azure Synapse Analytics dedicated SQL pool named Pool1. Pool1 contains a fact table named Tablet. Table1 contains sales data. Sixty-five million rows of data are added to Table1 monthly.

At the end of each month, you need to remove data that is older than 36 months. The solution must minimize how long it takes to remove the data.

How should you partition Table1, and how should you remove the old data? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

29. You have an Azure Databricks resource.

You need to log actions that relate to changes in compute for the Databricks resource.

Which Databricks services should you log?

30. You have an Azure Synapse Analytics dedicated SQL pod.

You need to create a pipeline that will execute a stored procedure in the dedicated SQL pool and use the returned result set as the input (or a downstream activity. The solution must minimize development effort.

Which Type of activity should you use in the pipeline?

31. HOTSPOT

You need to collect application metrics, streaming query events, and application log messages for an Azure Databrick cluster.

Which type of library and workspace should you implement? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

32. You are designing a folder structure for the files m an Azure Data Lake Storage Gen2 account. The account has one container that contains three years of data.

You need to recommend a folder structure that meets the following requirements:

• Supports partition elimination for queries by Azure Synapse Analytics serverless SQL pooh

• Supports fast data retrieval for data from the current month

• Simplifies data security management by department Which folder structure should you recommend?

33. HOTSPOT

You have an Azure Synapse Analytics dedicated SQL pool named Pool1 that contains an external table named Sales. Sales contains sales data. Each row in Sales contains data on a single sale, including the name of the salesperson.

You need to implement row-level security (RLS). The solution must ensure that the salespeople can access only their respective sales.

What should you do? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

34. HOTSPOT

You are building an Azure Stream Analytics job to identify how much time a user spends interacting with a feature on a webpage.

The job receives events based on user actions on the webpage. Each row of data represents an event. Each event has a type of either 'start' or 'end'.

You need to calculate the duration between start and end events.

How should you complete the query? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

35. HOTSPOT

You have an Azure Data Lake Storage Gen2 container.

Data is ingested into the container, and then transformed by a data integration application. The data is NOT modified after that. Users can read files in the container but cannot modify the files.

You need to design a data archiving solution that meets the following requirements:

✑ New data is accessed frequently and must be available as quickly as possible.

✑ Data that is older than five years is accessed infrequently but must be available

within one second when requested.

✑ Data that is older than seven years is NOT accessed. After seven years, the data must be persisted at the lowest cost possible.

✑ Costs must be minimized while maintaining the required availability.

How should you manage the data? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point

36. You have an Azure data factory.

You need to examine the pipeline failures from the last 180 flays.

What should you use?

37. DRAG DROP

You have an Azure Data Lake Storage Gen2 account that contains a JSON file for customers. The file contains two attributes named FirstName and LastName.

You need to copy the data from the JSON file to an Azure Synapse Analytics table by using Azure Databricks. A new column must be created that concatenates the FirstName and LastName values.

You create the following components:

✑ A destination table in Azure Synapse

✑ An Azure Blob storage container

✑ A service principal

In which order should you perform the actions? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

38. You use Azure Data Lake Storage Gen2.

You need to ensure that workloads can use filter predicates and column projections to filter data at the time the data is read from disk.

Which two actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

39. You are designing a highly available Azure Data Lake Storage solution that will include geo-zone-redundant storage (GZRS).

You need to monitor for replication delays that can affect the recovery point objective (RPO).

What should you include in the monitoring solution?

40. DRAG DROP

You have an Apache Spark DataFrame named temperatures.

A sample of the data is shown in the following table.

You need to produce the following table by using a Spark SQL query.

How should you complete the query? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content. NOTE: Each correct selection is worth one point.

41. You have a table in an Azure Synapse Analytics dedicated SQL pool.

The table was created by using the following Transact-SQL statement.

You need to alter the table to meet the following requirements:

✑ Ensure that users can identify the current manager of employees.

✑ Support creating an employee reporting hierarchy for your entire company.

✑ Provide fast lookup of the managers’ attributes such as name and job title.

Which column should you add to the table?

42. You have an Azure subscription that contains an Azure Synapse Analytics workspace named ws1 and an Azure Cosmos D6 database account named Cosmos1 Costmos1 contains a container named container 1 and ws1 contains a serverless1 SQL pool.

you need to ensure that you can Query the data in container by using the serverless1 SQL pool.

Which three actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

43. Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.

After you answer a question in this scenario, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

You have an Azure Storage account that contains 100 GB of files. The files contain text and numerical values. 75% of the rows contain description data that has an average length of 1.1 MB.

You plan to copy the data from the storage account to an enterprise data warehouse in Azure Synapse Analytics.

You need to prepare the files to ensure that the data copies quickly.

Solution: You convert the files to compressed delimited text files.

Does this meet the goal?

44. A company has a real-time data analysis solution that is hosted on Microsoft Azure. The solution uses Azure Event Hub to ingest data and an Azure Stream Analytics cloud job to analyze the data. The cloud job is configured to use 120 Streaming Units (SU).

You need to optimize performance for the Azure Stream Analytics job.

Which two actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

45. DRAG DROP

You plan to monitor an Azure data factory by using the Monitor & Manage app.

You need to identify the status and duration of activities that reference a table in a source database.

Which three actions should you perform in sequence? To answer, move the actions from the list of actions to the answer are and arrange them in the correct order.

46. You have an Azure Synapse Analytics serverless SQL pool named Pool1 and an Azure Data Lake Storage Gen2 account named storage1. The AllowedBlobpublicAccess porperty is disabled for storage1.

You need to create an external data source that can be used by Azure Active Directory

(Azure AD) users to access storage1 from Pool1.

What should you create first?

47. CORRECT TEXT

The storage account container view is shown in the Refdata exhibit. (Click the Refdata tab.)

You need to configure the Stream Analytics job to pick up the new reference data.

What should you configure? To answer, select the appropriate options in the answer area NOTE: Each correct selection is worth one point.

48. HOTSPOT

You have an Azure subscription that contains an Azure Synapse Analytics dedicated SQL pool.

You plan to deploy a solution that will analyze sales data and include the following:

• A table named Country that will contain 195 rows

• A table named Sales that will contain 100 million rows

• A query to identify total sales by country and customer from the past 30 days.

You need to create the tables. The solution must maximize query performance.

How should you complete the script? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

49. You are designing an Azure Data Lake Storage solution that will transform raw JSON files for use in an analytical workload.

You need to recommend a format for the transformed files.

The solution must meet the following requirements:

✑ Contain information about the data types of each column in the files.

✑ Support querying a subset of columns in the files.

✑ Support read-heavy analytical workloads.

✑ Minimize the file size.

What should you recommend?

50. You have an Azure Data lake Storage account that contains a staging zone.

You need to design a daily process to ingest incremental data from the staging zone, transform the data by executing an R script, and then insert the transformed data into a data warehouse in Azure Synapse Analytics.

Solution: You use an Azure Data Factory schedule trigger to execute a pipeline that executes an Azure Databricks notebook, and then inserts the data into the data warehouse.

Dow this meet the goal?

51. HOTSPOT

You have an Azure Data Factory pipeline shown the following exhibit.

The execution log for the first pipeline run is shown in the following exhibit.

The execution log for the second pipeline run is shown in the following exhibit.

For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.

52. You are building a data flow in Azure Data Factory that upserts data into a table in an Azure Synapse Analytics dedicated SQL pool.

You need to add a transformation to the data flow. The transformation must specify logic indicating when a row from the input data must be upserted into the sink.

Which type of transformation should you add to the data flow?

53. HOTSPOT

You have an Azure Synapse Analytics serverless SQL pool, an Azure Synapse Analytics dedicated SQL pool, an Apache Spark pool, and an Azure Data Lake Storage Gen2 account.

You need to create a table in a lake database. The table must be available to both the serverless SQL pool and the Spark pool.

Where should you create the table, and Which file format should you use for data in the table? TO answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

54. CORRECT TEXT

Metadata

55. DRAG DROP

You have the following table named Employees.

You need to calculate the employee_type value based on the hire_date value.

How should you complete the Transact-SQL statement? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content. NOTE: Each correct selection is worth one point.

56. HOTSPOT

You have an Azure Data Factory pipeline that has the activity shown in the following exhibit.

Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.

57. You are designing an Azure Databricks cluster that runs user-defined local processes.

You need to recommend a cluster configuration that meets the following requirements:

• Minimize query latency.

• Maximize the number of users that can run queues on the cluster at the same time «

Reduce overall costs without compromising other requirements

Which cluster type should you recommend?

58. HOTSPOT

You store files in an Azure Data Lake Storage Gen2 container.

The container has the storage policy shown in the following exhibit.

Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic. NOTE: Each correct selection Is worth one point.

59. HOTSPOT

You have an Azure Blob storage account that contains a folder. The folder contains 120,000 files. Each file contains 62 columns.

Each day, 1,500 new files are added to the folder.

You plan to incrementally load five data columns from each new file into an Azure Synapse Analytics workspace.

You need to minimize how long it takes to perform the incremental loads.

What should you use to store the files and format?

60. You have an Azure Data Factory pipeline named pipeline1 that is invoked by a tumbling window trigger named Trigger1. Trigger1 has a recurrence of 60 minutes.

You need to ensure that pipeline1 will execute only if the previous execution completes successfully.

How should you configure the self-dependency for Trigger1?

61. You have two Azure Blob Storage accounts named account1 and account2?

You plan to create an Azure Data Factory pipeline that will use scheduled intervals to replicate newly created or modified blobs from account1 to account?

You need to recommend a solution to implement the pipeline.

The solution must meet the following requirements:

• Ensure that the pipeline only copies blobs that were created of modified since the most recent replication event.

• Minimize the effort to create the pipeline.

What should you recommend?

62. You have a data warehouse in Azure Synapse Analytics.

You need to ensure that the data in the data warehouse is encrypted at rest.

What should you enable?

63. HOTSPOT

You have two Azure Storage accounts named Storage1 and Storage2. Each account holds one container and has the hierarchical namespace enabled. The system has files that contain data stored in the Apache Parquet format.

You need to copy folders and files from Storage1 to Storage2 by using a Data Factory copy activity.

The solution must meet the following requirements:

✑ No transformations must be performed.

✑ The original folder structure must be retained.

✑ Minimize time required to perform the copy activity.

How should you configure the copy activity? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

64. DRAG DROP

You have an Azure subscription.

You plan to build a data warehouse in an Azure Synapse Analytics dedicated SQL pool named pool1 that will contain staging tables and a dimensional model Pool1 will contain the following tables.

65. You are designing a partition strategy for a fact table in an Azure Synapse Analytics dedicated SQL pool.

The table has the following specifications:

• Contain sales data for 20,000 products.

• Use hash distribution on a column named ProduclID,

• Contain 2.4 billion records for the years 20l9 and 2020.

Which number of partition ranges provides optimal compression and performance of the clustered column store index?

66. You plan to implement an Azure Data Lake Storage Gen2 container that will contain CSV files. The size of the files will vary based on the number of events that occur per hour.

File sizes range from 4.KB to 5 GB.

You need to ensure that the files stored in the container are optimized for batch processing.

What should you do?

67. CORRECT TEXT

You have an Azure Data Factory pipeline that contains a data flow.

The data flow contains the following expression.

68. You have an Azure Synapse Analytics dedicated SQL pool named Pool1. Pool1 contains a table named table1.

You load 5 TB of data intotable1.

You need to ensure that column store compression is maximized for table1.

Which statement should you execute?

69. You have two fact tables named Flight and Weather.

Queries targeting the tables will be based on the join between the following columns.

You need to recommend a solution that maximizes query performance.

What should you include in the recommendation?

70. You create an Azure Databricks cluster and specify an additional library to install.

When you attempt to load the library to a notebook, the library in not found.

You need to identify the cause of the issue.

What should you review?

71. You are designing an inventory updates table in an Azure Synapse Analytics dedicated SQL pool.

The table will have a clustered columnstore index and will include the following columns:

You identify the following usage patterns:

✑ Analysts will most commonly analyze transactions for a warehouse.

✑ Queries will summarize by product category type, date, and/or inventory event type.

You need to recommend a partition strategy for the table to minimize query times.

On which column should you partition the table?

72. You are performing exploratory analysis of the bus fare data in an Azure Data Lake Storage Gen2 account by using an Azure Synapse Analytics serverless SQL pool.

You execute the Transact-SQL query shown in the following exhibit.

What do the query results include?

73. You are designing an Azure Databricks table. The table will ingest an average of 20 million streaming events per day.

You need to persist the events in the table for use in incremental load pipeline jobs in Azure Databricks. The solution must minimize storage costs and incremental load times.

What should you include in the solution?

74. HOTSPOT

You use Azure Data Lake Storage Gen2 to store data that data scientists and data engineers will query by using Azure Databricks interactive notebooks. Users will have access only to the Data Lake Storage folders that relate to the projects on which they work.

You need to recommend which authentication methods to use for Databricks and Data Lake Storage to provide the users with the appropriate access. The solution must minimize administrative effort and development effort.

Which authentication method should you recommend for each Azure service? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

75. HOTSPOT

You build an Azure Data Factory pipeline to move data from an Azure Data Lake Storage Gen2 container to a database in an Azure Synapse Analytics dedicated SQL pool.

Data in the container is stored in the following folder structure.

/in/{YYYY}/{MM}/{DD}/{HH}/{mm}

The earliest folder is /in/2021/01/01/00/00. The latest folder is /in/2021/01/15/01/45.

You need to configure a pipeline trigger to meet the following requirements:

✑ Existing data must be loaded.

✑ Data must be loaded every 30 minutes.

✑ Late-arriving data of up to two minutes must he included in the load for the time at which the data should have arrived.

How should you configure the pipeline trigger? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

76. You have an Azure Data Factory that contains 10 pipelines.

You need to label each pipeline with its main purpose of either ingest, transform, or load. The labels must be available for grouping and filtering when using the monitoring experience in Data Factory.

What should you add to each pipeline?

77. HOTSPOT

You have an Azure Synapse Analytics dedicated SQL pool.

You need to monitor the database for long-running queries and identify which queries are waiting on resources

Which dynamic management view should you use for each requirement? To answer, select the appropriate options in the answer area. NOTE; Each correct answer is worth one point.

78. HOTSPOT

You have a data model that you plan to implement in a data warehouse in Azure Synapse Analytics as shown in the following exhibit.

All the dimension tables will be less than 2 GB after compression, and the fact table will be approximately 6 TB.

Which type of table should you use for each table? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

79. HOTSPOT

You are building a database in an Azure Synapse Analytics serverless SQL pool.

You have data stored in Parquet files in an Azure Data Lake Storage Gen2 container.

Records are structured as shown in the following sample.

{

"id": 123,

"address_housenumber": "19c",

"address_line": "Memory Lane",

"applicant1_name": "Jane",

"applicant2_name": "Dev"

}

The records contain two applicants at most.

You need to build a table that includes only the address fields.

How should you complete the Transact-SQL statement? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

80. HOTSPOT

You have an Azure Data Lake Storage Gen2 account that contains a container named container1. You have an Azure Synapse Analytics serverless SQL pool that contains a native external table named dbo.Table1. The source data for dbo.Table1 is stored in container1.

The folder structure of container1 is shown in the following exhibit.

The external data source is defined by using the following statement.

For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.

81. HOTSPOT

You are designing an Azure Synapse Analytics dedicated SQL pool.

Groups will have access to sensitive data in the pool as shown in the following table.

You have policies for the sensitive data.

The policies vary be region as shown in the following table.

You have a table of patients for each region. The tables contain the following potentially sensitive columns.

You are designing dynamic data masking to maintain compliance.

For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.

82. HOTSPOT

You have an Azure subscription that contains an Azure Synapse Analytics dedicated SQL pool named Pool1 and an Azure Data Lake Storage account named storage1. Storage1 requires secure transfers.

You need to create an external data source in Pool1 that will be used to read .orc files in storage1.

How should you complete the code? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

83. HOTSPOT

You are designing an enterprise data warehouse in Azure Synapse Analytics that will store website traffic analytics in a star schema.

You plan to have a fact table for website visits. The table will be approximately 5 GB.

You need to recommend which distribution type and index type to use for the table. The solution must provide the fastest query performance.

What should you recommend? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

84. HOTSPOT

You have an Azure subscription that is linked to a hybrid Azure Active Directory (Azure AD) tenant. The subscription contains an Azure Synapse Analytics SQL pool named Pool1.

You need to recommend an authentication solution for Pool1. The solution must support multi-factor authentication (MFA) and database-level authentication.

Which authentication solution or solutions should you include in the recommendation? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

85. You are designing a streaming data solution that will ingest variable volumes of data.

You need to ensure that you can change the partition count after creation.

Which service should you use to ingest the data?

86. DRAG DROP

You have an Azure Synapse Analytics workspace named WS1.

You have an Azure Data Lake Storage Gen2 container that contains JSON-formatted files in the following format.

You need to use the serverless SQL pool in WS1 to read the files.

How should you complete the Transact-SQL statement? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content. NOTE: Each correct selection is worth one point.

87. You have an Azure Databricks workspace that contains a Delta Lake dimension table named Tablet. Table1 is a Type 2 slowly changing dimension (SCD) table. You need to apply updates from a source table to Table1.

Which Apache Spark SQL operation should you use?

88. You have an Azure Synapse Analytics dedicated SQL pool mat contains a table named dbo.Users.

You need to prevent a group of users from reading user email addresses from dbo.Users.

What should you use?

89. You need to design an Azure Synapse Analytics dedicated SQL pool that meets the following requirements:

✑ Can return an employee record from a given point in time.

✑ Maintains the latest employee information.

✑ Minimizes query complexity.

How should you model the employee data?

90. You are planning a streaming data solution that will use Azure Databricks. The solution will stream sales transaction data from an online store.

The solution has the following specifications:

* The output data will contain items purchased, quantity, line total sales amount, and line total tax amount.

* Line total sales amount and line total tax amount will be aggregated in Databricks.

* Sales transactions will never be updated. Instead, new rows will be added to adjust a sale.

You need to recommend an output mode for the dataset that will be processed by using Structured Streaming. The solution must minimize duplicate data.

What should you recommend?

91. Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.

After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

You are designing an Azure Stream Analytics solution that will analyze Twitter data.

You need to count the tweets in each 10-second window. The solution must ensure that each tweet is counted only once.

Solution: You use a hopping window that uses a hop size of 10 seconds and a window size of 10 seconds.

Does this meet the goal?

92. Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.

After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

You plan to create an Azure Databricks workspace that has a tiered structure. The workspace will contain the following three workloads:

✑ A workload for data engineers who will use Python and SQL.

✑ A workload for jobs that will run notebooks that use Python, Scala, and SOL.

✑ A workload that data scientists will use to perform ad hoc analysis in Scala and R.

The enterprise architecture team at your company identifies the following standards for Databricks environments:

✑ The data engineers must share a cluster.

✑ The job cluster will be managed by using a request process whereby data scientists and data engineers provide packaged notebooks for deployment to the cluster.

✑ All the data scientists must be assigned their own cluster that terminates automatically after 120 minutes of inactivity. Currently, there are three data scientists.

You need to create the Databricks clusters for the workloads.

Solution: You create a Standard cluster for each data scientist, a High Concurrency cluster for the data engineers, and a High Concurrency cluster for the jobs.

Does this meet the goal?

93. You use Azure Stream Analytics to receive Twitter data from Azure Event Hubs and to output the data to an Azure Blob storage account.

You need to output the count of tweets from the last five minutes every minute.

Which windowing function should you use?

94. You have the following Azure Data Factory pipelines

• ingest Data from System 1

• Ingest Data from System2

• Populate Dimensions

• Populate facts

ingest Data from System1 and Ingest Data from System1 have no dependencies. Populate Dimensions must execute after Ingest Data from System1 and Ingest Data from System* Populate Facts must execute after the Populate Dimensions pipeline. All the pipelines must execute every eight hours.

What should you do to schedule the pipelines for execution?

95. You have an Azure Synapse Analystics dedicated SQL pool that contains a table named Contacts. Contacts contains a column named Phone.

You need to ensure that users in a specific role only see the last four digits of a phone number when querying the Phone column.

What should you include in the solution?

96. You are designing a star schema for a dataset that contains records of online orders. Each record includes an order date, an order due date, and an order ship date.

You need to ensure that the design provides the fastest query times of the records when querying for arbitrary date ranges and aggregating by fiscal calendar attributes.

Which two actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

97. You have two fact tables named Flight and Weather.

Queries targeting the tables will be based on the join between the following columns.

You need to recommend a solution that maximum query performance.

What should you include in the recommendation?

98. You have an Azure subscription that contains an Azure Blob Storage account named storage1 and an Azure Synapse Analytics dedicated SQL pool named Pool1.

You need to store data in storage1.

The data will be read by Pool1. The solution must meet the following requirements:

✑ Enable Pool1 to skip columns and rows that are unnecessary in a query.

✑ Automatically create column statistics.

✑ Minimize the size of files.

Which type of file should you use?

99. You have an Azure Data Lake Storage account that contains a staging zone.

You need to design a daily process to ingest incremental data from the staging zone, transform the data by executing an R script, and then insert the transformed data into a data warehouse in Azure Synapse Analytics.

Solution: You use an Azure Data Factory schedule trigger to execute a pipeline that executes mapping data Flow, and then inserts the data info the data warehouse.

Does this meet the goal?