Ultimate Guide to Prepare D-DS-FN-23 Certification Exam for Dell Data Science in 2024

Use Real D-DS-FN-23 Dumps - EMC Correct Answers updated on 2024

NEW QUESTION # 141
What provides the means for matching and manipulating text strings in SQL?

• A. Association rules
• B. PACF
• C. Regular expressions
• D. TF-IDF

Answer: C

NEW QUESTION # 142
You are using a Logistic Regression model to determine if an applicant's gender is a factor in determining whether or not they receive a bank loan. When you plot the results, you notice that the regression coefficient is zero.
What can be determined?

• A. Applicant's gender does not influence the loan decision
• B. Sample size of the data is too small
• C. Sample size of the data is too large
• D. Applicant's gender influences the loan decision

Answer: A

NEW QUESTION # 143
Review the following code:
SELECT pn, vn, sum(prc*qty) FROM sale
GROUP BY CUBE(pn, vn) ORDER BY 1, 2, 3;
Which combination of subtotals do you expect to be returned by the query?

• A. (pn, vn)
• B. ( (pn, vn) , (pn), (vn) )
• C. ( (pn, vn), (pn) )
• D. ( (pn, vn) , (pn), (vn) , ( ) )

Answer: D

NEW QUESTION # 144
Which functionality do regular expressions provide?

• A. increased numerical precision
• B. decreased processing complexity
• C. underflow prevention
• D. text pattern matching

Answer: D

NEW QUESTION # 145
The graphic shows the values for the input Boolean attributes "A", "B", and "C". In addition, the graphic shows the values for the output attribute "class".

Which Decision Tree is valid for the data?

• A. Tree A
• B. Tree B
• C. Tree C
• D. Tree D

Answer: B

NEW QUESTION # 146
What is a motivation for using a data analytics lifecycle?

• A. Guarantees a successful project
• B. Creates a repeatable process
• C. Limits the amount of data needed
• D. Explores all possible approaches

Answer: B

NEW QUESTION # 147
You have been assigned to do a study of the daily revenue effect of apricing model of online transactions.
When have you completed the analytics lifecycle?

• A. You have a completely developed model, and the results have shown statistically acceptable results.
• B. You have written documentation, and the code has been handed off to the Data Base Administrator and business operations.
• C. You have presented the results of the model to both the internal analytics team and the business owner of the project.
• D. You have a completely developed model based on both a sample of the data and the entire set of data available.

Answer: B

NEW QUESTION # 148
Which data asset is an example of unstructured data?

• A. XML data file
• B. Database table
• C. Webserver log
• D. News article text

Answer: D

NEW QUESTION # 149
You do a Student's t-test to compare the average test scores of sample groups from populations A and B.
Group Aaveraged 10 points higher than group B.
You find that this difference is significant, with a p-value of 0.03.
What does that mean?

• A. There is a 97% chance that a sample group from population A will score 10 points higher that a sample group from population B.
• B. There is a 3% chance that you have identified a difference between the populations when in reality there is none.
• C. There is a 3% chance that a sample group from population A will score 10 points higher that a sample group from population B.
• D. The difference in scores between a sample from population A and a sample from population B will tend to be within 3% of 10 points.

Answer: B

NEW QUESTION # 150
Which data asset is an example of semi-structured data?

• A. Database table
• B. XML data file
• C. Webserver log
• D. News article

Answer: B

NEW QUESTION # 151
You have run the association rules algorithm on your data set, and the two rules {banana, apple} =>
{grape} and {apple, orange}=> {grape} have been found to be relevant.
What else must be true?

• A. {banana, apple, grape, orange} must be a frequent itemset.
• B. {grape} => {banana, apple} must be a relevant rule.
• C. {banana, apple} => {orange} must be a relevant rule.
• D. {grape, apple, orange} must be a frequent itemset.

Answer: D

NEW QUESTION # 152
Refer to the exhibit.

In association rules, for itemsets X and Y, which expression defines leverage?

• A. d
• B. b
• C. a
• D. c

Answer: C

NEW QUESTION # 153
When creating a presentation for a technical audience, what is the main objective?

• A. Show the technique to be used in the production environment
• B. Show if the model will meet the SLA
• C. Show that you met the project goals
• D. Show how you met the project goals

Answer: D

NEW QUESTION # 154
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()

• A. row_number()
• B. cumulative_sum()
• C. row_preceding()
• D. median()

Answer: A

NEW QUESTION # 155
You have been assigned to run a linear regression model for each of 5, 000 distinct districts, and all the data is currently stored in a PostgreSQL database.
Which tool/library would you use to produce these models with the least effort?

• A. R
• B. Mahout
• C. MADlib
• D. HBase

Answer: C

NEW QUESTION # 156
What does a leaf node represent in a decision tree?

• A. Outcome of a test on a variable
• B. Decision point on a variable
• C. Root of the decision tree
• D. Assigned class label

Answer: D

NEW QUESTION # 157
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?

• A. (hat, scarf), (hat, gloves), (scarf, gloves), (scarf, coat)
• B. (scarf, gloves), (scarf, coat) (hat, gloves)
• C. (hat, scarf), (hat, gloves)
• D. (hat, scarf), (scarf, coat), (coat, gloves)

Answer: A

NEW QUESTION # 158
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