Check Dell D-DS-FN-23 Free Dumps (Part 2, Q41-Q80) Online – You Can Find that the D-DS-FN-23 Dumps (V9.02) Are the Greatest Way to Make Preparations

1. You received 100,000 home loan records and want to quickly determine if there is any correlation between mortgage age and mortgage amount before conducting advanced analysis.

Which tool should be used for the preliminary analysis?

2. What is the output of the K-means clustering algorithm?

3. You are provided with the following list.

Which window function is missing?

cume_dist()

dense_rank()

rank()

percent_rank()

first_value()

last_value()

lag()

lead()

ntile()

4. In text analysis, what makes the corpus representation dynamic?

5. How are window functions different from regular aggregate functions?

6. You have created a Linear Regression model to predict total sales based on variables M, N, P and Q as shown in the graphic. You originally expected all variables to have positive coefficients.

Which action would you take?

7. You have been assigned to do a study of the daily revenue effect of a pricing model of online transactions. All the data currently available to you has been loaded into your analytics database; revenue data, pricing data, and online transaction data.

You find that all the data comes in different levels of granularity. The transaction data has timestamps (day, hour, minutes, seconds), pricing is stored at the daily level, and revenue data is only reported monthly.

What is your next step?

8. Which key role for a successful analytic project can provide business domain expertise with a deep understanding of the data and key performance indicators?

9. A Data Scientist is assigned to build a model from a reporting data warehouse. The warehouse contains data collected from many sources and transformed through a complex, multi-stage ETL process.

What is a concern the data scientist should have about the data?

10. You have just completed the Discovery phase of a project and finished interviewing the main stakeholders. You have identified the necessary data feeds and are now beginning to set up the analytic sandbox.

What is the next step?

11. In which lifecycle stage are appropriate analytical techniques determined?

12. What is holdout data?

13. In a t-test with unknown variance, what values are used to calculate the t-statistic?

14. Which participant in a data analytics project is typically responsible for assessing the validity of the model?

15. In a user-defined aggregate function, what is SFUNC?

16. What is required in a presentation for project sponsors?

17. Consider the following itemsets:

(hat, scarf, coat)

(hat, scarf, coat, gloves)

(hat, scarf, gloves)

(hat, gloves)

(scarf, coat, gloves)

If the minimum support is 50%, what represents the complete list of frequent 2-itemsets?

18. Which activity is performed in the Operationalize phase of the data analytics lifecycle?

19. Which ROC curve represents a perfect model fit?

A)

B)

C)

D)

20. Which Hadoop service is responsible for requesting resources for, and monitoring the completion of, MapReduce processes?

21. To ensure a successful analytic project, which key role can consult and advise the project team on the value of end results and how these will be used on a daily basis?

22. Which word or phrase completes the statement? Emphasis color is to standard color as _______.

23. A data scientist is preparing a presentation for a meeting with the project’s business sponsors. The distribution of per-sale revenue is an important finding from the analysis. The graphics illustrate four ways to plot the per-sale revenue distribution..”

Which graphic is most appropriate for the sponsor presentation?

24. You have been assigned to do a study of the daily revenue effect of a pricing model of online transactions. You have tested all the theoretical models in the previous model planning stage, and all tests have yielded statistically insignificant results.

What is your next step?

25. A disk drive manufacturer has a defect rate of less than 1.0% with 98% confidence. A quality assurance team samples 1000 disk drives and finds 14 defective units.

Which action should the team recommend?

26. Data visualization is used in the final presentation of an analytics project.

For what else is this technique commonly used?

27. Refer to the exhibit.

What provides the decision tree for predicting whether or not someone is a good or bad credit risk.

What would be the assigned probability, p(good), of a single male with no known savings?

28. Which SQL OLAP extension provides all possible grouping combinations?

29. Assume you are performing an analysis to determine fraud detection on credit card usage. You will need to ensure higher-risk transactions. These may indicate that fraudulent credit card activity is retained in your data for analysis and not dropped as outliers during pre- processing.

What is the approach for loading data into the analytical sandbox for this analysis?

30. What type of data is represented in the exhibit?

31. When is a Wilcoxon Rank-Sum test used?

32. Refer to the Exhibit.

In the Exhibit. For effective visualization, what is the chart's primary flaw?

33. What requests resources from YARN during a MapReduce job?

34. Since R factors are categorical variables, they are most closely related to which data classification level?

35. What is a distinct property of Logistic Regression compared with Linear Regression?

36. You are building a logistic regression model to predict whether a tax filer will be audited within the next two years. Your training set population is 1000 filers. The audit rate in your training data is 4.2%.

What is the sum of the probabilities that the model assigns to all the filers in your training set that have been audited?

37. Consider the example of an analysis for fraud detection on credit card usage. You will need to ensure higher-risk transactions that may indicate fraudulent credit card activity are retained in your data for analysis, and not dropped as outliers during pre-processing.

What will be your approach for loading data into the analytical sandbox for this analysis?

38. What is an appropriate data visualization to use in a presentation for an analyst audience?

39. How is HDFS defined?

40. Which word or phrase completes the statement? Structured data is to OLAP data as quasi- structured data is to