EMC Dell Data Science Foundations - D-DS-FN-23 FREE EXAM DUMPS QUESTIONS & ANSWERS]

Question 1

In which lifecycle stage are test and training data sets created?

A. Data preparation B. Discovery C. Model planning D. Model building

Discussion 0

Correct Answer: D Vote an answer

Question 2

Consider these itemsets:
(hat, scarf, coat)
(hat, scarf, coat, gloves)
(hat, scarf, gloves)
(hat, gloves)
(scarf, coat, gloves)
What is the confidence of the rule (gloves -> hat)?

A. 75% B. 66% C. 80% D. 60%

Discussion 0

Correct Answer: A Vote an answer

Question 3

What is required in a presentation for business analysts?

A. Budgetary considerations and requests B. Detailed statistical explanation of the applicable modeling theory C. The presentation author's credentials D. Operational process changes

Discussion 0

Correct Answer: D Vote an answer

Question 4

Which word or phrase completes the statement? Business Intelligence is to ad-hoc reporting and dashboards as Data Science is to __________.

A. Sales and profit reporting B. Alerts and Queries C. Structured Data and Data Sources D. Optimization and Predictive Modeling

Discussion 0

Correct Answer: D Vote an answer

Question 5

What does the R code z <- f[1:10, ] do?

A. Assigns the 1st 10 columns to z B. Assigns the 1st 10 columns of the 1st row of f to z C. Assigns a sequence of values from 1 to 10 to z D. Assigns the first 10 rows of f to the vector z

Discussion 0

Correct Answer: D Vote an answer

Question 6

In the Map Reduce framework, what is the purpose of the Reduce function?

A. It writes the output of the Map function to storage B. It distributes the input to multiple nodes for processing C. It breaks the input into smaller components and distributes to other nodes in the cluster D. It aggregates the results of the Map function and generates processed output

Discussion 0

Correct Answer: D Vote an answer

Question 7

You are testing two new weight-gain formulas for puppies. The test gives the results: Control group: 1% weight gain Formula A. 3% weight gain Formula B. 4% weight gain A one-way ANOVA returns a p-value = 0.027
What can you conclude?

A. Formula A and Formula B are about equally effective at promoting weight gain. B. Formula A and Formula B are both effective at promoting weight gain. C. Formula B is more effective at promoting weight gain than Formula A. D. Either Formula A or Formula B is effective at promoting weight gain.

Discussion 0

Correct Answer: D Vote an answer

Question 8

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

A. Segment-level calculation function B. State transition function C. Final calculation function D. Window function

Discussion 0

Correct Answer: B Vote an answer

Question 9

Refer to the exhibit.

You have scored your Naive bayesian classifier model on a hold out test data for cross validation and determined the way the samples scored and tabulated them as shown in the exhibit.
What are the the False Positive Rate (FPR) and the False Negative Rate (FNR) of the model?

A. FPR = 288/26 FNR = 262/15 B. FPR = 262/15 FNR = 288/26 C. FPR = 26/288 FNR = 15/262 D. FPR = 15/262 FNR = 26/288

Discussion 0

Correct Answer: D Vote an answer

Question 10

What are categorized as cluster and workflow management tools for Hadoop?

A. Spark, Tez, and Cassandra B. Drill, Hive, and HBase C. Ambari, Oozie, and Zookeeper D. Flume, Sqoop, and Storm

Discussion 0

Correct Answer: C Vote an answer

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Question 11

Which analytical method is considered unsupervised?

A. Linear regression B. K-means clustering C. Naïve Bayesian classifier D. Decision tree

Discussion 0

Correct Answer: B Vote an answer

Question 12

Refer to the Exhibit.

You are going into a meeting where you anticipate your manager will have a question on your dataset.
Specifically, your manager will want to know about customers that are classified as renters with a good credit status.
In order to prepare for the meeting, you create a rule: RENTER => GOOD CREDIT.
What is the confidence of this rule?

A. 41% B. 18% C. 63% D. 73%

Discussion 0

Correct Answer: C Vote an answer

Question 13

What tasks need to be completed when designing an analytic sandbox?

A. Discuss with business experts the best ways to join different datasets B. Estimate the size of the dataset and plan for 5-10 times the size C. Establish the database tables for extract, translate, and load D. Define the hardware and Hadoop network requirements

Discussion 0

Correct Answer: B Vote an answer

Question 14

What is the primary bottleneck in text classification?

A. The high dimensionality of text data. B. The ability to parse unstructured text data. C. The availablilty of tagged training data. D. The fact that text corpora are dynamic.

Discussion 0

Correct Answer: C Vote an answer