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Amazon Web Services DAS-C01 Exam Sample Questions


Question # 1

A US-based sneaker retail company launched its global website. All the transaction data is stored in Amazon
RDS and curated historic transaction data is stored in Amazon Redshift in the us-east-1 Region. The business
intelligence (BI) team wants to enhance the user experience by providing a dashboard for sneaker trends.
The BI team decides to use Amazon QuickSight to render the website dashboards. During development, a
team in Japan provisioned Amazon QuickSight in ap-northeast-1. The team is having difficulty connecting
Amazon QuickSight from ap-northeast-1 to Amazon Redshift in us-east-1.
Which solution will solve this issue and meet the requirements?

A.

In the Amazon Redshift console, choose to configure cross-Region snapshots and set the destination
Region as ap-northeast-1. Restore the Amazon Redshift Cluster from the snapshot and connect to
Amazon QuickSight launched in ap-northeast-1.

B.

Create a VPC endpoint from the Amazon QuickSight VPC to the Amazon Redshift VPC so Amazon
QuickSight can access data from Amazon Redshift.

C.

Create an Amazon Redshift endpoint connection string with Region information in the string and use
this connection string in Amazon QuickSight to connect to Amazon Redshift

D.

Create a new security group for Amazon Redshift in us-east-1 with an inbound rule authorizing access
from the appropriate IP address range for the Amazon QuickSight servers in ap-northeast-1.



B.

Create a VPC endpoint from the Amazon QuickSight VPC to the Amazon Redshift VPC so Amazon
QuickSight can access data from Amazon Redshift.






Question # 2

A company is migrating its existing on-premises ETL jobs to Amazon EMR. The code consists of a series of jobs written in Java. The company needs to reduce overhead for the system administrators without changing the underlying code. Due to the sensitivity of the data, compliance requires that the company use root device volume encryption on all nodes in the cluster. Corporate standards require that environments be provisioned though AWS CloudFormation when possible.
Which solution satisfies these requirements?

A.

Install open-source Hadoop on Amazon EC2 instances with encrypted root device volumes. Configure
the cluster in the CloudFormation template.

B.

Use a CloudFormation template to launch an EMR cluster. In the configuration section of the cluster,
define a bootstrap action to enable TLS.

C.

Create a custom AMI with encrypted root device volumes. Configure Amazon EMR to use the custom
AMI using the CustomAmild property in the CloudFormation template

D.

Use a CloudFormation template to launch an EMR cluster. In the configuration section of the cluster,
define a bootstrap action to encrypt the root device volume of every node.



C.

Create a custom AMI with encrypted root device volumes. Configure Amazon EMR to use the custom
AMI using the CustomAmild property in the CloudFormation template






Question # 3

A team of data scientists plans to analyze market trend data for their company’s new investment strategy. The trend data comes from five different data sources in large volumes. The team wants to utilize Amazon Kinesis to support their use case. The team uses SQL-like queries to analyze trends and wants to send notifications based on certain significant patterns in the trends. Additionally, the data scientists want to save the data to Amazon S3 for archival and historical re-processing, and use AWS managed services wherever possible. The team wants to implement the lowest-cost solution.
Which solution meets these requirements?

A.

Publish data to one Kinesis data stream. Deploy a custom application using the Kinesis Client Library
(KCL) for analyzing trends, and send notifications using Amazon SNS. Configure Kinesis Data Firehose on the Kinesis data stream to persist data to an S3 bucket

B.

Publish data to one Kinesis data stream. Deploy Kinesis Data Analytic to the stream for analyzing
trends, and configure an AWS Lambda function as an output to send notifications using Amazon SNS.
Configure Kinesis Data Firehose on the Kinesis data stream to persist data to an S3 bucket.

C.

Publish data to two Kinesis data streams. Deploy Kinesis Data Analytics to the first stream for analyzing trends, and configure an AWS Lambda function as an output to send notifications using Amazon SNS. Configure Kinesis Data Firehose on the second Kinesis data stream to persist data to an S3 bucket.

D.

Publish data to two Kinesis data streams. Deploy a custom application using the Kinesis Client Library
(KCL) to the first stream for analyzing trends, and send notifications using Amazon SNS. Configure
Kinesis Data Firehose on the second Kinesis data stream to persist data to an S3 bucket.



A.

Publish data to one Kinesis data stream. Deploy a custom application using the Kinesis Client Library
(KCL) for analyzing trends, and send notifications using Amazon SNS. Configure Kinesis Data Firehose on the Kinesis data stream to persist data to an S3 bucket






Question # 4

An Amazon Redshift database contains sensitive user data. Logging is necessary to meet compliance
requirements. The logs must contain database authentication attempts, connections, and disconnections. The logs must also contain each query run against the database and record which database user ran each query. Which steps will create the required logs?

 

A.

Enable Amazon Redshift Enhanced VPC Routing. Enable VPC Flow Logs to monitor traffic.

B.

Allow access to the Amazon Redshift database using AWS IAM only. Log access using AWS
CloudTrail.

C.

Enable audit logging for Amazon Redshift using the AWS Management Console or the AWS CLI.

D.

Enable and download audit reports from AWS Artifact.



C.

Enable audit logging for Amazon Redshift using the AWS Management Console or the AWS CLI.






Question # 5

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.



B.

Separate the data by product and use IAM policies for authorization.





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