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AWS-Certified-Data-Analytics-Specialty pdf
  • Exam Code: AWS-Certified-Data-Analytics-Specialty
  • Exam Name: AWS Certified Data Analytics - Specialty (DAS-C01) Exam
  • Version: V17.95
  • Q & A: 400 Questions and Answers
  • PDF Price: $51.98

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  • Exam Code: AWS-Certified-Data-Analytics-Specialty
  • Exam Name: AWS Certified Data Analytics - Specialty (DAS-C01) Exam
  • Version: V17.95
  • Q & A: 400 Questions and Answers
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AWS-Certified-Data-Analytics-Specialty Testing Engine
  • Exam Code: AWS-Certified-Data-Analytics-Specialty
  • Exam Name: AWS Certified Data Analytics - Specialty (DAS-C01) Exam
  • Version: V17.95
  • Q & A: 400 Questions and Answers
  • Software Price: $51.98
  • Testing Engine

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NEW QUESTION: 1
A developer writes a stateless session bean HelloBean that exposes a local business interface Hello:

The developer wants to test HelloBean using the EJB 3.1 Embeddable API. Given a main method with the following code:
100. EJBContainer container = EJBContainer.createEJBContainer();
Assuming HelloBean is packaged in hello.jar and included in the classpath, which code correctly acquires a reference to HelloBean?
A. Context c = container.getContext();
Hello h = (Hello) ic.lookup("java:global/hello/HelloBean");
B. Context c = container.getContext();
Hello h = (Hello) ic.lookup("com.acme.Hello");
C. InitialContext ic = new InitialContext();
Hello h = (Hello) ic.lookup("java:global/hello/HelloBean");
D. InitialContext ic = new InitialContext();
Hello h = (Hello) ic.lookup("com.acme.Hello");
Answer: A

NEW QUESTION: 2
You are building a multilingual chatbot.
You need to send a different answer for positive and negative messages.
Which two Text Analytics APIs should you use? Each correct answer presents part of the solution. (Choose two.) NOTE: Each correct selection is worth one point.
A. Detect Language
B. Sentiment Analysis
C. Key Phrases
D. Linked entities from a well-known knowledge base
E. Named Entity Recognition
Answer: A,B
Explanation:
B: The Text Analytics API's Sentiment Analysis feature provides two ways for detecting positive and negative sentiment. If you send a Sentiment Analysis request, the API will return sentiment labels (such as "negative", "neutral" and "positive") and confidence scores at the sentence and document-level.
D: The Language Detection feature of the Azure Text Analytics REST API evaluates text input for each document and returns language identifiers with a score that indicates the strength of the analysis.
This capability is useful for content stores that collect arbitrary text, where language is unknown. Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to- sentiment-analysis?tabs=version-3-1
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to- language-detection

NEW QUESTION: 3
When would this pattern be used?

A. When there is a need to analyze or index content contained within an image
B. When there is a need to disambiguate the output of a dialog
C. When there is a need to analyze or index content contained within speech
D. When there is a need to search through output from Natural Language Classifier
Answer: C

NEW QUESTION: 4
Holly is the business analyst for her organization. Management has asked Holly to create a document that will define solution alternatives and how each identified solution may provide an expected business benefit to meet the identified business need. Management has asked Holly to provide data and statistics in this document to support her claims and findings. What type of document is management asking Holly to create?
A. Vision statement
B. Project scope statement
C. Feasibility study
D. Current state assessment
Answer: C
Explanation:
Explanation/Reference:
Explanation:

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