DASCA Senior Data Scientist 認定 SDS 試験問題:

1. Which of the following standardizes scores similar to a percentile rank but preserves equal interval properties of a Z-score?

A) Medium Curve Equivalent (MCE)
B) High Curve Equivalent (HCE)
C) Normal Curve Equivalent (NCE)
D) Trend analysis
E) None of the above

2. The spokes of the "Hub and Spoke" analytics architecture are the analytic use cases or applications that help the organization to optimize:

A) Uncover new monetization opportunities
B) All of the above
C) Deliver a more compelling customer experience
D) Key business processes
E) Both A and B

3. Which of the following is correct about customer lifetime value (CLTV)?
i. Most organizations determine the current customer lifetime value (CLTV) based on historic sales over past
12 to 18 months
ii. The goal of the CLTV score is to help marketing and store personnel to determine the "value" of a customer

A) Only ii
B) Both i and ii
C) Only i

4. Maximum Likelihood Estimation (MLE) is a way to frame:

A) Large class of problems in HDFS
B) Both A and C
C) Small class of problems in Data Science
D) Large class of problems in Data Science
E) Small class of problems in HDFS

5. Which of the following is TRUE for data lake?

A) The data lake can make both of the Business Intelligence and Data Science environments more agile and more productive
B) None of the above
C) The data lake can make both of the Business Intelligence and Data Science environments less agile and more productive
D) The data lake enables organizations to treat data as an organizational asset to be gathered and nurtured versus a cost to be minimized
E) The data lake enables organizations to gather, manage, enrich, and analyze many new sources of data, whether structured or unstructured

質問と回答：