AWS Certified Data Analytics – Specialty Course in Dubai
Overview of the AWS Certified Data Analytics Specialty course
AWS Certified Data Analytics Specialty (DAS-C01) examination is intended for people that do an information analytics-focused duty. This test validates an examinee's thorough understanding of using AWS services to develop, build, safeguard, and maintain analytics services that offer insight from data.
It verifies an examinee's capability to:
Specify AWS data analytics solutions and recognize how they integrate with each other.
Explain how AWS data analytics solutions suit the data lifecycle of collection, storage space, handling, and visualization.
Suggested AWS Expertise
A minimum of 5 years of experience with standard information analytics technologies
At least two years of hands-on experience servicing AWS Experience as well as proficiency working with AWS solutions to make, construct, protect, and also keep analytics options
AWS Certified Data Analytics Specialty Exam material
Feedback Enters There are two types of inquiries on the assessment:
Multiple selections: Has one appropriate reaction and three incorrect reactions (distractors).
Multiple reactions: Has two or more correct feedbacks out of five options.
Select several reactions that best total the declaration or address the concern. Distractors, or wrong answers, are action choices that an examinee with insufficient knowledge or ability would likely select. However, they are usually possible actions that suit the content location defined by the examination goal.
Unanswered inquiries are racked up as wrong; there is no charge for thinking.
Unscored Content
Your exam might include unscored things placed on the examination. These products are not determined by the type and do not impact your rating.
AWS Certified Data Analytics Specialty Exam Outcomes
The AWS Certified Data Analytics Specialty (DAS-C01) exam is a pass or stop-working examination. The evaluation is compared to a minimal common established by AWS specialists who are led by the accreditation sector's finest methods and guidelines. Your results for the assessment are reported as a score from 100- 1,000, with a minimum passing score of 750.
Your score shows how you did on the examination all at once and also whether you passed. Scaled racking-up designs relate ratings across multiple examination types that might have slightly different problem degrees. Your rating report has a table of classifications of your efficiency at each area level.
This detail is designed to offer general comments concerning your evaluation efficiency. The evaluation uses a compensatory scoring version, which implies that you do not need to "pass" the particular areas, just the total assessment. Each exam section has a specific weighting, so some rooms have many more concerns than others. The table consists of essential details, highlighting your stamina and also weaknesses. Exercise care when interpreting section-level feedback.
AWS Certified Data Analytics Specialty Content Outline
This exam guide consists of weightings, test domain names, and goals. It is not a comprehensive listing of the web content on this assessment. The table below lists the primary web content domains and their weightings.
Domain
% of Exam
Domain 1: Collection
18%
Domain 2: Storage and Data Management
20%
Domain 3: Processing
24%
Domain 4: Analysis and Visualization
18%
Domain 5: Security
18%
TOTAL
100%
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AWS Certified Data Analytics Specialty Course content
Domain 1: Collection
1.1 Figure out the operational qualities of the collection system 1.2 Select a collection system that deals with the frequency, quantity, and also resource of data 1.3 Select a collection system that addresses the vital homes of data, such as order, format, and compression
Domain 2: Storage as well as Information Administration
2.1 Figure out the operational features of a storage space option for analytics 2.2 Determine information gain access to as well as retrieval patterns 2.3 select an appropriate information design, schema, structure, as well as style 2.4 Define a data lifecycle based on usage patterns and also service demands 2.5 establish a suitable system for cataloging data and managing metadata
Domain 3: Handling
3.1 Determine proper data processing option requirements 3.2 Style an option for transforming and also preparing information for analysis 3.3 Automate and also operationalize an information processing solution
Domain 4: Evaluation as well as Visualization
4.1 Identify the functional attributes of an evaluation as well as visualization remedy 4.2 Select the appropriate data analysis option for a provided circumstance 4.3 Select the proper information visualization remedy for an offered situation
Domain 5: Security
5.1 Select proper authentication and consent devices 5.2 Apply data security and also file encryption techniques 5.3 Apply data governance and also compliance controls
