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1. A data analyst needs to use the Databricks Lakehouse Platform to quickly create SQL queries and data visualizations. It is a requirement that the compute resources in the platform can be made serverless, and it is expected that data visualizations can be placed within a dashboard.

Which of the following Databricks Lakehouse Platform services/capabilities meets all of these requirements?

Delta Lake

Databricks Notebooks

Tableau

Databricks Machine Learning

Databricks SQL

2. Which of the following should data analysts consider when working with personally identifiable information (PII) data?

Organization-specific best practices for Pll data

Legal requirements for the area in which the data was collected

None of these considerations

Legal requirements for the area in which the analysis is being performed

All of these considerations

3. A data analyst has created a user-defined function using the following line of code:

CREATE FUNCTION price(spend DOUBLE, units DOUBLE)

RETURNS DOUBLE

RETURN spend / units;

Which of the following code blocks can be used to apply this function to the customer_spend and customer_units columns of the table customer_summary to create column customer_price?

SELECT PRICE customer_spend, customer_units AS customer_price FROM customer_summary

SELECT price FROM customer_summary

SELECT function(price(customer_spend, customer_units)) AS customer_price FROM customer_summary

SELECT double(price(customer_spend, customer_units)) AS customer_price FROM customer_summary

SELECT price(customer_spend, customer_units) AS customer_price FROM customer_summary

4. Which of the following statements about adding visual appeal to visualizations in the Visualization Editor is incorrect?

Visualization scale can be changed.

Data Labels can be formatted.

Colors can be changed.

Borders can be added.

Tooltips can be formatted.

5. Which of the following is an advantage of using a Delta Lake-based data lakehouse over common data lake solutions?

ACID transactions

Flexible schemas

Data deletion

Scalable storage

Open-source formats

6. A data analyst is attempting to drop a table my_table. The analyst wants to delete all table metadata and data.

They run the following command:

DROP TABLE IF EXISTS my_table;

While the object no longer appears when they run SHOW TABLES, the data files still exist.

Which of the following describes why the data files still exist and the metadata files were deleted?

The table's data was larger than 10 GB

The table did not have a location

The table was external

The table's data was smaller than 10 GB

The table was managed

7. A data analysis team is working with the table_bronze SQL table as a source for one of its most complex projects. A stakeholder of the project notices that some of the downstream data is duplicative. The analysis team identifies table_bronze as the source of the duplication.

Which of the following queries can be used to deduplicate the data from table_bronze and write it to a new table table_silver?

A)

CREATE TABLE table_silver AS SELECT DISTINCT *

FROM table_bronze;

B)

CREATE TABLE table_silver AS

INSERT *

FROM table_bronze;

C)

CREATE TABLE table_silver AS

MERGE DEDUPLICATE *

FROM table_bronze;

D)

INSERT INTO TABLE table_silver

SELECT * FROM table_bronze;

E)

INSERT OVERWRITE TABLE table_silver

SELECT * FROM table_bronze;

Option A

Option B

Option C

Option D

Option E

8. The stakeholders.customers table has 15 columns and 3,000 rows of data .

The following command is run:





After running SELECT * FROM stakeholders.eur_customers, 15 rows are returned. After the command executes completely, the user logs out of Databricks.

After logging back in two days later, what is the status of the stakeholders.eur_customers view?

The view remains available and SELECT * FROM stakeholders.eur_customers will execute correctly.

The view has been dropped.

The view is not available in the metastore, but the underlying data can be accessed with SELECT * FROM delta. `stakeholders.eur_customers`.

The view remains available but attempting to SELECT from it results in an empty result set because data in views are automatically deleted after logging out .

The view has been converted into a table.

9. In which of the following situations will the mean value and median value of variable be meaningfully different?

When the variable contains no outliers

When the variable contains no missing values

When the variable is of the boolean type

When the variable is of the categorical type

When the variable contains a lot of extreme outliers

10. Which of the following approaches can be used to connect Databricks to Fivetran for data ingestion?

Use Workflows to establish a SQL warehouse (formerly known as a SQL endpoint) for Fivetran to interact with

Use Delta Live Tables to establish a cluster for Fivetran to interact with

Use Partner Connect's automated workflow to establish a cluster for Fivetran to interact with

Use Partner Connect's automated workflow to establish a SQL warehouse (formerly known as a SQL endpoint) for Fivetran to interact with

Use Workflows to establish a cluster for Fivetran to interact with

11. A business analyst has been asked to create a data entity/object called sales_by_employee. It should always stay up-to-date when new data are added to the sales table. The new entity should have the columns sales_person, which will be the name of the employee from the employees table, and sales, which will be all sales for that particular sales person. Both the sales table and the employees table have an employee_id column that is used to identify the sales person.

Which of the following code blocks will accomplish this task?

A)





B)





C)





D)

Option A

Option B

Option C

Option D

12. A data team has been given a series of projects by a consultant that need to be implemented in the Databricks Lakehouse Platform.

Which of the following projects should be completed in Databricks SQL?

Testing the quality of data as it is imported from a source

Tracking usage of feature variables for machine learning projects

Combining two data sources into a single, comprehensive dataset

Segmenting customers into like groups using a clustering algorithm

Automating complex notebook-based workflows with multiple tasks

13. A data analyst has been asked to produce a visualization that shows the flow of users through a website.

Which of the following is used for visualizing this type of flow?

Heatmap

IChoropleth

Word Cloud

Pivot Table

Sankey

14. In which of the following situations should a data analyst use higher-order functions?

When custom logic needs to be applied to simple, unnested data

When custom logic needs to be converted to Python-native code

When custom logic needs to be applied at scale to array data objects

When built-in functions are taking too long to perform tasks

When built-in functions need to run through the Catalyst Optimizer

15. A data analyst has been asked to count the number of customers in each region and has written the following query:





If there is a mistake in the query, which of the following describes the mistake?

The query is using count('). which will count all the customers in the customers table, no matter the region.

The query is missing a GROUP BY region clause.

The query is using ORDER B

which is not allowed in an aggregation.

There are no mistakes in the query.

The query is selecting region but region should only occur in the ORDER BY clause.

16. Which of the following layers of the medallion architecture is most commonly used by data analysts?

None of these layers are used by data analysts

Gold

All of these layers are used equally by data analysts

Silver

Bronze

17. A data analyst has recently joined a new team that uses Databricks SQL, but the analyst has never used Databricks before. The analyst wants to know where in Databricks SQL they can write and execute SQL queries.

On which of the following pages can the analyst write and execute SQL queries?

Data page

Dashboards page

Queries page

Alerts page

SQL Editor page

18. A data analyst has been asked to use the below table sales_table to get the percentage rank of products within region by the sales:


The result of the query should look like this:


Which of the following queries will accomplish this task?

A)


B)


C)


D)

Option A

Option B

Option C

Option D

19. A data analyst created and is the owner of the managed table my_ table. They now want to change ownership of the table to a single other user using Data Explorer.

Which of the following approaches can the analyst use to complete the task?

Edit the Owner field in the table page by removing their own account

Edit the Owner field in the table page by selecting All Users

Edit the Owner field in the table page by selecting the new owner's account

Edit the Owner field in the table page by selecting the Admins group

Edit the Owner field in the table page by removing all access

20. Delta Lake stores table data as a series of data files, but it also stores a lot of other information.

Which of the following is stored alongside data files when using Delta Lake?

None of these

Table metadata, data summary visualizations, and owner account information

Table metadata

Data summary visualizations

Owner account information

21. What does Partner Connect do when connecting Power Bl and Tableau?

Creates a Personal Access Token. downloads and installs an ODBC driver, and downloads a configuration file for connection by Power Bl or Tableau to a SQL Warehouse (formerly known as a SQL Endpoint).

Creates a Personal Access Token for authentication into Databricks SQL and emails it to you .

Downloads a configuration file for connection by Power Bl or Tableau to a SQL Warehouse (formerly known as a SQL Endpoint).

Downloads and installs an ODBC driver.

22. A data analyst runs the following command:

SELECT age, country

FROM my_table

WHERE age >= 75 AND country = 'canada';

Which of the following tables represents the output of the above command?

A)





B)





C)





D)





E)

Option A

Option B

Option C

Option D

Option E

23. A data analyst has been asked to configure an alert for a query that returns the income in the accounts_receivable table for a date range. The date range is configurable using a Date query parameter.

The Alert does not work.

Which of the following describes why the Alert does not work?

Alerts don't work with queries that access tables.

Queries that return results based on dates cannot be used with Alerts.

The wrong query parameter is being used. Alerts only work with Date and Time query parameters.

Queries that use query parameters cannot be used with Alerts.

The wrong query parameter is being used. Alerts only work with drogdown list query parameters, not dates.

24. Which of the following benefits of using Databricks SQL is provided by Data Explorer?

It can be used to run UPDATE queries to update any tables in a database.

It can be used to view metadata and data, as well as view/change permissions.

It can be used to produce dashboards that allow data exploration.

It can be used to make visualizations that can be shared with stakeholders.

It can be used to connect to third party Bl cools.

25. A data engineering team has created a Structured Streaming pipeline that processes data in micro-batches and populates gold-level tables. The microbatches are triggered every minute. A data analyst has created a dashboard based on this gold-level dat a. The project stakeholders want to see the results in the dashboard updated within one minute or less of new data becoming available within the gold-level tables.

Which of the following cautions should the data analyst share prior to setting up the dashboard to complete this task?

The required compute resources could be costly

The gold-level tables are not appropriately clean for business reporting

The streaming data is not an appropriate data source for a dashboard

The streaming cluster is not fault tolerant

The dashboard cannot be refreshed that quickly

26. Which statement about subqueries is correct?

Subqueries are not available in Databricks SQL

Subqueries can be used like other user-defined functions to transform data into different data types.

Subqueries can retrieve data without requiring the creation of a table or view.

Subqueries can be used like other built-in functions to transform data into different data types.

27. What describes Partner Connect in Databricks?

it allows for free use of Databricks partner tools through a common AP

it allows multi-directional connection between Databricks and Databricks partners easier.

It exposes connection information to third-party tools via Databricks partners.

It is a feature that runs Databricks partner tools on a Databricks SQL Warehouse (formerly known as a SQL endpoint).

28. A data analyst creates a Databricks SQL Query where the result set has the following schema:

region STRING

number_of_customer INT

When the analyst clicks on the "Add visualization" button on the SQL Editor page, which of the following types of visualizations will be selected by default?

Violin Chart

Line Chart

IBar Chart

Histogram

There is no default. The user must choose a visualization type.

29. A data analyst has been asked to provide a list of options on how to share a dashboard with a client. It is a security requirement that the client does not gain access to any other information, resources, or artifacts in the database.

Which of the following approaches cannot be used to share the dashboard and meet the security requirement?

Download the Dashboard as a PDF and share it with the client.

Set a refresh schedule for the dashboard and enter the client's email address in the "Subscribers" box.

Take a screenshot of the dashboard and share it with the client.

Generate a Personal Access Token that is good for 1 day and share it with the client.

Download a PNG file of the visualizations in the dashboard and share them with the client.

30. After running DESCRIBE EXTENDED accounts.customers;, the following was returned:





Now, a data analyst runs the following command:

DROP accounts.customers;

Which of the following describes the result of running this command?

Running SELECT * FROM delta. `dbfs:/stakeholders/customers` results in an error.

Running SELECT * FROM accounts.customers will return all rows in the table.

All files with the .customers extension are deleted.

The accounts.customers table is removed from the metastore, and the underlying data files are deleted.

The accounts.customers table is removed from the metastore, but the underlying data files are untouched.

31. A data engineer is working with a nested array column products in table transactions. They want to expand the table so each unique item in products for each row has its own row where the transaction_id column is duplicated as necessary.

They are using the following incomplete command:





Which of the following lines of code can they use to fill in the blank in the above code block so that it successfully completes the task?

array distinct(produces)

explode(produces)

reduce(produces)

array(produces)

flatten(produces)

32. A data analyst has created a Query in Databricks SQL, and now they want to create two data visualizations from that Query and add both of those data visualizations to the same Databricks SQL Dashboard.

Which of the following steps will they need to take when creating and adding both data visualizations to the Databricks SQL Dashboard?

They will need to alter the Query to return two separate sets of results.

They will need to add two separate visualizations to the dashboard based on the same Query.

They will need to create two separate dashboards.

They will need to decide on a single data visualization to add to the dashboard.

They will need to copy the Query and create one data visualization per query.

33. Which of the following statements describes descriptive statistics?

A branch of statistics that uses summary statistics to quantitatively describe and summarize data.

A branch of statistics that uses a variety of data analysis techniques to infer properties of an underlying distribution of probability.

A branch of statistics that uses quantitative variables that must take on a finite or countably infinite set of values.

A branch of statistics that uses summary statistics to categorically describe and summarize data.

A branch of statistics that uses quantitative variables that must take on an uncountable set of values.

34. Consider the following two statements:

Statement 1:


Statement 2:


Which of the following describes how the result sets will differ for each statement when they are run in Databricks SQL?

The first statement will return all data from the customers table and matching data from the orders table. The second statement will return all data from the orders table and matching data from the customers table. Any missing data will be filled in with NULL.

When the first statement is run, only rows from the customers table that have at least one match with the orders table on customer_id will be returned. When the second statement is run, only those rows in the customers table that do not have at least one match with the orders table on customer_id will be returned.

There is no difference between the result sets for both statements.

Both statements will fail because Databricks SQL does not support those join types.

When the first statement is run, all rows from the customers table will be returned and only the customer_id from the orders table will be returned. When the second statement is run, only those rows in the customers table that do not have at least one match with the orders table on customer_id will be returned.

35. A data analyst has a managed table table_name in database database_name. They would now like to remove the table from the database and all of the data files associated with the table. The rest of the tables in the database must continue to exist.

Which of the following commands can the analyst use to complete the task without producing an error?

DROP DATABASE database_name;

DROP TABLE database_name.table_name;

DELETE TABLE database_name.table_name;

DELETE TABLE table_name FROM database_name;

DROP TABLE table_name FROM database_name;

36. Data professionals with varying titles use the Databricks SQL service as the primary touchpoint with the Databricks Lakehouse Platform. However, some users will use other services like Databricks Machine Learning or Databricks Data Science and Engineering.

Which of the following roles uses Databricks SQL as a secondary service while primarily using one of the other services?

Business analyst

SQL analyst

Data engineer

Business intelligence analyst

Data analyst

37. A data analyst wants to create a dashboard with three main sections: Development, Testing, and Production. They want all three sections on the same dashboard, but they want to clearly designate the sections using text on the dashboard.

Which of the following tools can the data analyst use to designate the Development, Testing, and Production sections using text?

Separate endpoints for each section

Separate queries for each section

Markdown-based text boxes

Direct text written into the dashboard in editing mode

Separate color palettes for each section

38. A data analyst is working with gold-layer tables to complete an ad-hoc project. A stakeholder has provided the analyst with an additional dataset that can be used to augment the gold-layer tables already in use.

Which of the following terms is used to describe this data augmentation?

Data testing

Ad-hoc improvements

Last-mile

Last-mile ETL

Data enhancement

39. How can a data analyst determine if query results were pulled from the cache?

Go to the Query History tab and click on the text of the query. The slideout shows if the results came from the cache.

Go to the Alerts tab and check the Cache Status alert.

Go to the Queries tab and click on Cache Status. The status will be green if the results from the last run came from the cache.

Go to the SQL Warehouse (formerly SQL Endpoints) tab and click on Cache. The Cache file will show the contents of the cache.

Go to the Data tab and click Last Query. The details of the query will show if the results came from the cache.

40. Which of the following describes how Databricks SQL should be used in relation to other business intelligence (BI) tools like Tableau, Power BI, and looker?

As an exact substitute with the same level of functionality

As a substitute with less functionality

As a complete replacement with additional functionality

As a complementary tool for professional-grade presentations

As a complementary tool for quick in-platform Bl work

41. A data organization has a team of engineers developing data pipelines following the medallion architecture using Delta Live Tables. While the data analysis team working on a project is using gold-layer tables from these pipelines, they need to perform some additional processing of these tables prior to performing their analysis.

Which of the following terms is used to describe this type of work?

Data blending

Last-mile

Data testing

Last-mile ETL

Data enhancement

42. Which of the following statements about a refresh schedule is incorrect?

A query can be refreshed anywhere from 1 minute lo 2 weeks

Refresh schedules can be configured in the Query Editor.

A query being refreshed on a schedule does not use a SQL Warehouse (formerly known as SQL Endpoint).

A refresh schedule is not the same as an alert.

You must have workspace administrator privileges to configure a refresh schedule

43. A data engineering team has created a Structured Streaming pipeline that processes data in micro-batches and populates gold-level tables. The microbatches are triggered every 10 minutes. A data analyst has created a dashboard based on this gold level data. The project stakeholders want to see the results in the dashboard updated within 10 minutes or less of new data becoming available within the gold-level tables.

What is the ability to ensure the streamed data is included in the dashboard at the standard requested by the project stakeholders?

A refresh schedule with an interval of 10 minutes or less

A refresh schedule with an always-on SQL Warehouse (formerly known as SQL Endpoint

A refresh schedule with stakeholders included as subscribers

A refresh schedule with a Structured Streaming cluster

44. Which of the following is a benefit of Databricks SQL using ANSI SQL as its standard SQL dialect?

It has increased customization capabilities

It is easy to migrate existing SQL queries to Databricks SQL

It allows for the use of Photon's computation optimizations

It is more performant than other SQL dialects

It is more compatible with Spark's interpreters

45. A data analyst is processing a complex aggregation on a table with zero null values and their query returns the following result:





Which of the following queries did the analyst run to obtain the above result?

A)





B)





C)





D)





E)

Option A

Option B

Option C

Option D

Option E

46. Which of the following approaches can be used to ingest data directly from cloud-based object storage?

Create an external table while specifying the DBFS storage path to FROM

Create an external table while specifying the DBFS storage path to PATH

It is not possible to directly ingest data from cloud-based object storage

Create an external table while specifying the object storage path to FROM

Create an external table while specifying the object storage path to LOCATION

47. An analyst writes a query that contains a query parameter. They then add an area chart visualization to the query. While adding the area chart visualization to a dashboard, the analyst chooses "Dashboard Parameter" for the query parameter associated with the area chart.

Which of the following statements is true?

The area chart will use whatever is selected in the Dashboard Parameter while all or the other visualizations will remain changed regardless of their parameter use.

The area chart will use whatever is selected in the Dashboard Parameter along with all of the other visualizations in the dashboard that use the same parameter.

The area chart will use whatever value is chosen on the dashboard at the time the area chart is added to the dashboard.

The area chart will use whatever value is input by the analyst when the visualization is added to the dashboard. The parameter cannot be changed by the user afterwards.

The area chart will convert to a Dashboard Parameter.

48. A data analyst runs the following command:

INSERT INTO stakeholders.suppliers TABLE stakeholders.new_suppliers;

What is the result of running this command?

The suppliers table now contains both the data it had before the command was run and the data from the new suppliers table, and any duplicate data is deleted .

The command fails because it is written incorrectly.

The suppliers table now contains both the data it had before the command was run and the data from the new suppliers table, including any duplicate data.

The suppliers table now contains the data from the new suppliers table, and the new suppliers table now contains the data from the suppliers table.

The suppliers table now contains only the data from the new suppliers table.

49. A data analyst has set up a SQL query to run every four hours on a SQL endpoint, but the SQL endpoint is taking too long to start up with each run.

Which of the following changes can the data analyst make to reduce the start-up time for the endpoint while managing costs?

Reduce the SQL endpoint cluster size

Increase the SQL endpoint cluster size

Turn off the Auto stop feature

Increase the minimum scaling value

Use a Serverless SQL endpoint

50. A stakeholder has provided a data analyst with a lookup dataset in the form of a 50-row CSV file. The data analyst needs to upload this dataset for use as a table in Databricks SQL.

Which approach should the data analyst use to quickly upload the file into a table for use in Databricks SOL?

Create a table by uploading the file using the Create page within Databricks SQL

Create a table via a connection between Databricks and the desktop facilitated by Partner Connect.

Create a table by uploading the file to cloud storage and then importing the data to Databricks.

Create a table by manually copying and pasting the data values into cloud storage and then importing the data to Databricks.

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