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Exam Code: AWS-Certified-Data-Analytics-Specialty-KR
Exam Name: AWS Certified Data Analytics - Specialty (DAS-C01 Korean Version)
Vendor: Amazon

60 Questions & Answers
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NEW QUESTION: 1
Changing the web server contents, Accessing the workstation using a false ID and Copying sensitive data without authorization are examples of:
A. Social Engineering attacks
B. Unauthorized access attacks
C. Malware attacks
D. DDoS attacks
Answer: B

NEW QUESTION: 2
Gwen has to divide her money between her three sons. If the older brother received 65% of the total amount and the other two received the same amount of money, how much money did the median brother get?
(1) The combined amount of money of the older brother and the small one is $45,000.
(2) The older brother received $35,454.5.
A. Statement (1) BY ITSELF is sufficient to answer the question, but statement (2) by itself is not.
B. Statements (1) and (2) TAKEN TOGETHER are sufficient to answer the question, even though NEITHER statement BY ITSELF is sufficient.
C. Statement (2) BY ITSELF is sufficient to answer the question, but statement (1) by itself is not.
D. Either statement BY ITSELF is sufficient to answer the question.
E. Statements (1) and (2) TAKEN TOGETHER are NOT sufficient to answer the question, requiring more data pertaining to the problem.
Answer: D
Explanation:
Explanation/Reference:
Explanation:
The data gave us the ratio of the amounts each one got (65 : 17.5 : 17.5), therefore all we need is one number to know how much each of the brothers received. Each of the statements above gives us enough information to solve the problem.

NEW QUESTION: 3
You are building a regression model for estimating the number of calls during an event.
You need to determine whether the feature values achieve the conditions to build a Poisson regression model.
Which two conditions must the feature set contain? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. The label data must be whole numbers.
B. The label data can be positive or negative.
C. The label data must be a negative value.
D. The label data must be a positive value.
E. The label data must be non-discrete.
Answer: A,D
Explanation:
Explanation/Reference:
Explanation:
Poisson regression is intended for use in regression models that are used to predict numeric values, typically counts. Therefore, you should use this module to create your regression model only if the values you are trying to predict fit the following conditions:
The response variable has a Poisson distribution.

Counts cannot be negative. The method will fail outright if you attempt to use it with negative labels.

A Poisson distribution is a discrete distribution; therefore, it is not meaningful to use this method with

non-whole numbers.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/poisson-regression


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