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[General] Quiz EMC - D-DS-FN-23 Accurate PDF VCE

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【General】 Quiz EMC - D-DS-FN-23 Accurate PDF VCE

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EMC Dell Data Science Foundations Sample Questions (Q226-Q231):NEW QUESTION # 226
A business colleague who is new to Hadoop approaches you with a question. The colleague wants to know the best approach to access their data. The colleague has previously worked extensively with SQLand databases.
Which query interface should be recommended?
  • A. Hive
  • B. Pig
  • C. HBase
  • D. Howl
Answer: A

NEW QUESTION # 227
You have run a Linear Regression model on the data shown in the graphic.

Which value is a reasonable guess for R-squared?
  • A. -.8
  • B. 1.25
  • C. .25
  • D. .8
Answer: D

NEW QUESTION # 228
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 A
  • D. Document B
Answer: A

NEW QUESTION # 229

Refer to the exhibit.
To predict whether or not a customer will renew their annual property insurance policy, an insurance company built and operationalized a naive Bayes classification model. In the model, there are two class labels, renewal and non-renewal, that are assigned to each customer based on their attributes.
A subset of the key attributes, their values, and corresponding conditional probabilities are provided in the exhibit.
A customer has the following attributes:
# Age is greater than 65 years
# Owns their own home
# Renewal month is August
If 20% of customers do not renew the police every year, what is the score for a renewal in the naive Bayesian model for the customer described above?
  • A. 0.0022
  • B. 0 0027
  • C. 0.0270
  • D. 0.0216
Answer: D
Explanation:
The formula for Naive Bayes is:

For the renewal class, we are given:
# P(Class = Renewal) = 0.8 (since 80% renew the policy)
# P(Age > 65 years | Renewal) = 0.3
# P(Housing = Own | Renewal) = 0.9
# P(Renewal Month = August | Renewal) = 0.1
P(Renewal) = P(Renewal) × P(Age > 65 years | Renewal) × P(Housing = Own | Renewal) × P (Renewal Month = August | Renewal) P(Renewal) = 0.8 × 0.3 × 0.9 × 0.1 = 0.0216

NEW QUESTION # 230
Refer to the exhibit.

You are building a decision tree. In this exhibit, four variables are listed with their respective values of info-gain.
Based on this information, on which attribute would you expect the next split to be in the decision tree?
  • A. Gender
  • B. Income
  • C. Credit Score
  • D. Age
Answer: C

NEW QUESTION # 231
......
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