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  • Exam Name: AWS Certified Data Analytics - Specialty
  • Last Update: 22-Jan-2022
  • Questions and Answers: 157
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DAS-C01 Questions and Answers

Question # 1

A company wants to improve the data load time of a sales data dashboard. Data has been collected as .csv files and stored within an Amazon S3 bucket that is partitioned by date. The data is then loaded to an Amazon Redshift data warehouse for frequent analysis. The data volume is up to 500 GB per day.

Which solution will improve the data loading performance?

A.

Compress .csv files and use an INSERT statement to ingest data into Amazon Redshift.

B.

Split large .csv files, then use a COPY command to load data into Amazon Redshift.

C.

Use Amazon Kinesis Data Firehose to ingest data into Amazon Redshift.

D.

Load the .csv files in an unsorted key order and vacuum the table in Amazon Redshift.

Question # 2

A company is reading data from various customer databases that run on Amazon RDS. The databases contain many inconsistent fields For example, a customer record field that is place_id in one database is location_id in another database. The company wants to link customer records across different databases, even when many customer record fields do not match exactly

Which solution will meet these requirements with the LEAST operational overhead?

A.

Create an Amazon EMR cluster to process and analyze data in the databases Connect to the Apache Zeppelin notebook, and use the FindMatches transform to find duplicate records in the data.

B.

Create an AWS Glue crawler to crawl the databases. Use the FindMatches transform to find duplicate records in the data Evaluate and tune the transform by evaluating performance and results of finding matches

C.

Create an AWS Glue crawler to crawl the data in the databases Use Amazon SageMaker to construct Apache Spark ML pipelines to find duplicate records in the data

D.

Create an Amazon EMR cluster to process and analyze data in the databases. Connect to the Apache Zeppelin notebook, and use Apache Spark ML to find duplicate records in the data. Evaluate and tune the model by evaluating performance and results of finding duplicates

Question # 3

A company leverages Amazon Athena for ad-hoc queries against data stored in Amazon S3. The company wants to implement additional controls to separate query execution and query history among users, teams, or applications running in the same AWS account to comply with internal security policies.

Which solution meets these requirements?

A.

Create an S3 bucket for each given use case, create an S3 bucket policy that grants permissions to appropriate individual IAM users. and apply the S3 bucket policy to the S3 bucket.

B.

Create an Athena workgroup for each given use case, apply tags to the workgroup, and create an IAM policy using the tags to apply appropriate permissions to the workgroup.

C.

Create an IAM role for each given use case, assign appropriate permissions to the role for the given use case, and add the role to associate the role with Athena.

D.

Create an AWS Glue Data Catalog resource policy for each given use case that grants permissions to appropriate individual IAM users, and apply the resource policy to the specific tables used by Athena.

Question # 4

A company uses Amazon kinesis Data Streams to ingest and process customer behavior information from application users each day. A data analytics specialist notices that its data stream is throttling. The specialist has turned on enhanced monitoring for the Kinesis data stream and has verified that the data stream did not exceed the data limits. The specialist discovers that there are hot shards

Which solution will resolve this issue?

A.

Use a random partition key to ingest the records.

B.

Increase the number of shards Split the size of the log records.

C.

Limit the number of records that are sent each second by the producer to match the capacity of the stream.

D.

Decrease the size of the records that are sent from the producer to match the capacity of the stream.

Question # 5

An analytics software as a service (SaaS) provider wants to offer its customers business intelligence

The provider wants to give customers two user role options

• Read-only users for individuals who only need to view dashboards

• Power users for individuals who are allowed to create and share new dashboards with other users

Which QuickSight feature allows the provider to meet these requirements'?

A.

Embedded dashboards

B.

Table calculations

C.

Isolated namespaces

D.

SPICE

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