D-DS-FN-23 Updated Exam Dumps [2026] Practice Valid Exam Dumps Question
D-DS-FN-23 Sample with Accurate & Updated Questions
EMC D-DS-FN-23 Exam Syllabus Topics:
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NEW QUESTION # 35
You are using MADlib for Linear Regression analysis.
Which value does the statement return?
SELECT (linregr(depvar, indepvar)).r2 FROM zeta1;
- A. Standard error
- B. Goodness of fit
- C. P-value
- D. Coefficients
Answer: B
NEW QUESTION # 36
What is a key consideration when preparing a presentation intended for analysts?
- A. Provide talking points to promote or evangelize the project
- B. Emphasize the business benefits of implementing the model
- C. Describe how to implement the model
- D. Focus on clean simple-to-understand visuals
Answer: D
Explanation:
Analysts value clarity and interpretability in data presentations. Clean, simple-to-understand visuals help them accurately assess the data, model outputs, and insights without unnecessary complexity.
NEW QUESTION # 37
Consider a database with 4 transactions:
Transaction 1: {cheese, bread, milk}
Transaction 2: {soda, bread, milk}
Transaction 3: {cheese, bread}
Transaction 4: {cheese, soda, juice}
The minimum support is 25%.
Which rule has a confidence equal to 50%?
- A. {bread} => {cheese}
- B. {bread, milk} => {cheese}
- C. {juice} => {soda}
- D. {bread} => {milk}
Answer: B
NEW QUESTION # 38
Which component of a final presentation focuses on how to deploy the model?
- A. Recommendations
- B. Project goals
- C. Executive summary
- D. Approach
Answer: A
NEW QUESTION # 39
Which two analytical methods can be used for dealing with categorical variables with a large number of levels?
- A. Naïve Bayesian and Decision Tree
- B. Naïve Bayesian and Linear Regression
- C. Logistic Regression and ARMA
- D. Linear Regression and Association Rules
Answer: A
NEW QUESTION # 40
How are window functions different from regular aggregate functions?
- A. Rows retain their separate identities and the window function can access more than the current row.
- B. Rows retain their separate identities and the window function can only access the current row.
- C. Rows are grouped into an output row and the window function can access more than the current row.
- D. Rows are grouped into an output row and the window function can only access the current row.
Answer: A
NEW QUESTION # 41
What type of data is represented in the exhibit?
- A. Semi-structured
- B. Quasi-structured
- C. Unstructured
- D. Structured
Answer: D
NEW QUESTION # 42
Refer to the exhibit.
Click on the calculator icon in the upper left corner. An analyst is searching a corpus of documents for the topic "solid state disk".
In the Exhibit, Table A provides the inverse document frequency for each term across the corpus. Table B provides each term's frequency in four documents selected from corpus.
Which of the four documents is most relevant to the analyst's search?
- A. Document C
- B. Document D
- C. Document B
- D. Document A
Answer: A
NEW QUESTION # 43
What is an example of a null hypothesis?
- A. that a newly created model provides a prediction that will be well fit to the null distribution
- B. that a newly created model provides a prediction of a null population mean
- C. that a newly created model does not provide better predictions than the currently existing model
- D. that a newly created model provides a prediction of a null sample mean
Answer: C
NEW QUESTION # 44
What tasks need to be completed when designing an analytic sandbox?
- A. Estimate the size of the dataset and plan for 5-10 times the size
- B. Establish the database tables for extract, translate, and load
- C. Discuss with business experts the best ways to join different datasets
- D. Define the hardware and Hadoop network requirements
Answer: A
NEW QUESTION # 45
A data scientist wants to predict the probability of death from heart disease based on three risk factors:
age, gender, and blood cholesterol level.
What is the most appropriate method for this project?
- A. Linear regression
- B. Logistic regression
- C. K-means clustering
- D. Apriori algorithm
Answer: B
NEW QUESTION # 46
You are studying the behavior of a population, and you are provided with multidimensional data at the individual level. You have identified four specific individuals who are valuable to your study, and would like to find all users who are most similar to each individual.
Which algorithm is the most appropriate for this study?
- A. Association rules
- B. K-means clustering
- C. Linear regression
- D. Decision trees
Answer: B
NEW QUESTION # 47
You are assigned the task of creating customer profiles for your company. In your database, you have
25 key input variables that come together to define 2,500 customers. You decide to run a K-means cluster analysis on the 25 input variables based on k=4 to build your profiles.
Your analysis resulted in four cluster populations:
Cluster A=1,000 customers
Cluster B=560 customers
Cluster C=925 customers
Cluster D=15 customers
What should be attempted first to more evenly distribute the customer population across clusters?
- A. Increase K from 4 to 5
- B. Remove the 15 customers in Cluster D from the population
- C. Reduce K from 4 to 3
- D. Remove some of the input variables from the analysis
Answer: C
NEW QUESTION # 48
There are three criterions for big data analytics projects which include:
- Decision speed
- Analysis flexibility
What is the additional criteria?
- A. Security
- B. Throughput
- C. Quality
- D. Structure
Answer: B
NEW QUESTION # 49
Refer to the Exhibit.
In the Exhibit, the table shows the values for the input Boolean attributes "A", "B", and "C". It also shows the values for the output attribute "class".
Which decision tree is valid for the data?
- A. Tree A
- B. Tree B
- C. Tree D
- D. Tree C
Answer: B
NEW QUESTION # 50
The graph represents the plot of WSS as a function of K for a K-means clustering analysis you performed.
Which point in the graph represents the most optimal value of K?
- A. A
- B. D
- C. C
- D. B
Answer: C
NEW QUESTION # 51
Which word or phrase completes the statement? Mahout is to Hadoop as MADlib is to _______.
- A. R
- B. PostgreSQL
- C. Excel
- D. SAS
Answer: B
NEW QUESTION # 52
Executives want to determine whether a change in a shopping rewards program has been effective in getting customers to increase their spending. Which approach could be used to determine if a significant shift in spending has occurred?
- A. Naive
- B. K-means clustering
- C. Sample variance
- D. Hypothesis testing
Answer: D
Explanation:
Hypothesis testing is the appropriate approach to determine whether a significant shift in spending has occurred. By comparing pre- and post-program spending, hypothesis testing can assess if the observed changes are statistically significant.
NEW QUESTION # 53
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