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AWS Certified Data Analytics Specialty Rapid Exam Prep

An accelerator preparation kit for succeeding on AWS Data Analytics - Specialty Certification Exam
Course from Udemy
 18 students enrolled
 en
Define AWS data analytics services and understand how they integrate with each other
Explain how AWS data analytics services fit in the data life cycle of collection, storage, processing, and visualization

There is one assessment set and two practice exams to test your knowledge.

There are two types of questions on the examination:

Multiple choice: Has one correct response and three incorrect responses (distractors).

Multiple response: Has two or more correct responses out of five or more options. Select one or more responses that best complete the statement or answer the question. Distractors, or incorrect answers, are response options that an examinee with incomplete knowledge or skill would likely choose. However, they are generally plausible responses that fit in the content area defined by the test objective.

Unanswered questions are scored as incorrect; there is no penalty for guessing.

Exam Domains

There are 5 domains being covered in this preparation kit and in the certification exam.

Domain 1: Collection

1.1 Determine the operational characteristics of the collection system

1.2 Select a collection system that handles the frequency, volume, and source of data

1.3 Select a collection system that addresses the key properties of data, such as order, format, and compression

Domain 2: Storage and Data Management

2.1 Determine the operational characteristics of a storage solution for analytics

2.2 Determine data access and retrieval patterns

2.3 Select an appropriate data layout, schema, structure, and format

2.4 Define a data lifecycle based on usage patterns and business requirements

2.5 Determine an appropriate system for cataloging data and managing metadata

Domain 3: Processing

3.1 Determine appropriate data processing solution requirements

3.2 Design a solution for transforming and preparing data for analysis

3.3 Automate and operationalize a data processing solution

Domain 4: Analysis and Visualization

4.1 Determine the operational characteristics of an analysis and visualization solution

4.2 Select the appropriate data analysis solution for a given scenario

4.3 Select the appropriate data visualization solution for a given scenario

Domain 5: Security

5.1 Select appropriate authentication and authorization mechanisms

5.2 Apply data protection and encryption techniques

5.3 Apply data governance and compliance controls

AWS Certified Data Analytics Specialty Rapid Exam Prep
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