Candidates for the AWS Certified Data Analytics – Specialty test must have the following qualifications: at least five years of expertise with data analytics techniques and two years of the practical learning experience with AWS. Second, expertise with AWS services to design, create, secure, and maintain analytics systems.
The AWS Certified Data Analytics exam is a 65-question Specialized level exam. The time limit is of 180 minutes to complete the exam. The exam is also available in two formats: a testing center and an online written exam. The exam fee for AWS Certified Data Analytics - Specialty is $300.
DAS-C01 Exam Details
Format: Multiple choice, Multiple Answer
Exam Type: Specialty
Exam Method: Testing center or online proctored exam
Time: 180 Min
Exam Price: $300 USD
Language: Available in English, Japanese, Korean, and Simplified Chinese
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AWS Certified Data Analytics - Specialty Questions and Answers
A data analyst is designing a solution to interactively query datasets with SQL using a JDBC connection. Users will join data stored in Amazon S3 in Apache ORC format with data stored in Amazon Elasticsearch Service (Amazon ES) and Amazon Aurora MySQL.
Which solution will provide the MOST up-to-date results?
A company’s marketing team has asked for help in identifying a high performing long-term storage service for their data based on the following requirements:
- The data size is approximately 32 TB uncompressed.
- There is a low volume of single-row inserts each day.
- There is a high volume of aggregation queries each day.
- Multiple complex joins are performed.
- The queries typically involve a small subset of the columns in a table.
Which storage service will provide the MOST performant solution?
A company uses Amazon Redshift as its data warehouse. A new table has columns that contain sensitive data. The data in the table will eventually be referenced by several existing queries that run many times a day.
A data analyst needs to load 100 billion rows of data into the new table. Before doing so, the data analyst must ensure that only members of the auditing group can read the columns containing sensitive data.
How can the data analyst meet these requirements with the lowest maintenance overhead?
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