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Download DemoVendor: Amazon
Certifications: Amazon Certifications
Exam Code: DAS-C01
Exam Name: AWS Certified Data Analytics - Specialty (DAS-C01)
Updated: Jan 17, 2025
Q&As: 285
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A retail company's data analytics team recently created multiple product sales analysis dashboards for the average selling price per product using Amazon QuickSight. The dashboards were created from .csv files uploaded to Amazon S3. The team is now planning to share the dashboards with the respective external product owners by creating individual users in Amazon QuickSight. For compliance and governance reasons, restricting access is a key requirement. The product owners should view only their respective product analysis in the dashboard reports.
Which approach should the data analytics team take to allow product owners to view only their products in the dashboard?
A. Separate the data by product and use S3 bucket policies for authorization.
B. Separate the data by product and use IAM policies for authorization.
C. Create a manifest file with row-level security.
D. Create dataset rules with row-level security.
Correct Answer: D
Reference: https://docs.aws.amazon.com/quicksight/latest/user/restrict-access-to-a-data-set-using-row-level-security.html
A data analytics specialist is building a solution to securely collect and store data from multiple applications for analytics. The solution must store the data across multiple Availability Zones less than 2 minutes after collecting the data. The solution also must provide a secure way to authenticate and authorize the source application users.
Which solution will meet these requirements with the LEAST operational overhead?
A. Authenticate by using an Amazon Cognito user pool that is authorized to write to an Amazon API Gateway REST API. Configure the API as a proxy for an Amazon Kinesis Data Firehose delivery stream that has an Amazon S3 destination.
B. Write data to an Amazon S3 bucket by using the AWS SDK. Configure a bucket policy that limits writes to specific IAM roles.
C. Create an IAM access key that is authorized to write to an Amazon Kinesis Data Firehose delivery stream that has an Amazon S3 destination. Embed the access key into the applications.
D. Call a REST-based service such as Amazon API Gateway that uses a custom authentication service to store data on a Kubernetes cluster.
Correct Answer: A
A mining company is using Amazon S3 as its data lake. The company wants to analyze the data collected by the sensors in its mines. A data pipeline is being built to capture data from the sensors, ingest the data into an S3 bucket, and convert the data to Apache Parquet format. The data pipeline must be processed in near-real time. The data will be used for on-demand queries with Amazon Athena.
Which solution will meet these requirements?
A. Use Amazon Kinesis Data Firehose to invoke an AWS Lambda function that converts the data to Parquet format and stores the data in Amazon S3.
B. Use Amazon Kinesis Data Streams to invoke an AWS Lambda function that converts the data to Parquet format and stores the data in Amazon S3.
C. Use AWS DataSync to invoke an AWS Lambda function that converts the data to Parquet format and stores the data in Amazon S3.
D. Use Amazon Simple Queue Service (Amazon SQS) to stream data directly to an AWS Glue job that converts the data to Parquet format and stores the data in Amazon S3.
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