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SAS A00-226 Exam Summary:-
- Exam Name: SAS Text Analytics, Time Series, Experimentation and Optimization
- Exam Code: A00-226
- Exam Price: $180 (USD)
- Duration: 110 minutes
- Number of Questions: 50-55 multiple choice or short answer
- Passing Score: 68
SAS A00-226 Exam Topics:-
- Text Analytics – 30%
- Time Series – 30%
- Experimentation & Incremental Response Models – 20%
- Optimization – 20%
Improve Your Knowledge-Base:
Get access to some of the sample A00-226 practice test questions to boost your knowledge base. Preparation is a continuous process for some time, and you must always try to keep improving via learning. Access the questions from anywhere and from any device. The easy availability of the questions would help you to get better with the A00-226 exam topics. You can solve these questions easily or learn new things from them.
Here Are Some Useful Questions:
01. What is an example of time series forecasting?
a) A dried fruit company sends out marketing postcards and models who will respond.
b) A glue manufacturer wants to know how long it will take for its glue to dry.
c) A fire department wants to know how many fires it will likely need to fight during the holidays, so that it can staff accordingly.
d) A hospital wants to know how long its patients will survive after open heart surgery so that adverse effects can be caught early.
Answer: c
02. What is a primary value of text mining as applied to forensic linguistics analysis?
a) Determining the native language of a suspect can help identify where a suspect may reside.
b) Word frequencies of written or spoken communication can help discriminate between suspects.
c) The usage of certain emotion-based nouns, verbs, and adjectives indicate criminal pathology.
d) Determines if the written or spoken communication is the subject’s second language.
Answer: b
03. Why are iterative search algorithms used for solving non-linear programming (NLP) problems?
a) NLP are not convex.
b) A unique, optimal solution is not guaranteed.
c) The gradient of the objective is un-bounded.
d) NLP have only one local optimum.
Answer: b
04. Which measure assesses predictive accuracy?
a) AIC
b) SBC
c) MAE
d) Ljung-Box
Answer: c
05. In the Text Topic node, the Singular Value Decomposition (SVD) dimensions are rotated. What is the purpose of this rotation?
a) To interpret each dimension with a set of terms.
b) To determine the number of topics that are discovered.
c) To ensure the topics are relevant to your interests.
d) To avoid producing topics that are too similar
Answer: a
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