Name: AWS Certified Data Analytics - Specialty
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SKU: DAS-C01
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Free Amazon DAS-C01 Exam Actual Questions

The questions for DAS-C01 were last updated On Dec 17, 2025

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Question No. 1

A company developed a new elections reporting website that uses Amazon Kinesis Data Firehose to deliver full logs from AWS WAF to an Amazon S3 bucket. The company is now seeking a low-cost option to perform this infrequent data analysis with visualizations of logs in a way that requires minimal development effort.

Which solution meets these requirements?

AUse an AWS Glue crawler to create and update a table in the Glue data catalog from the logs. Use Athena to perform ad-hoc analyses and use Amazon QuickSight to develop data visualizations.

BCreate a second Kinesis Data Firehose delivery stream to deliver the log files to Amazon Elasticsearch Service (Amazon ES). Use Amazon ES to perform text-based searches of the logs for ad-hoc analyses and use Kibana for data visualizations.

CCreate an AWS Lambda function to convert the logs into .csv format. Then add the function to the Kinesis Data Firehose transformation configuration. Use Amazon Redshift to perform ad-hoc analyses of the logs using SQL queries and use Amazon QuickSight to develop data visualizations.

DCreate an Amazon EMR cluster and use Amazon S3 as the data source. Create an Apache Spark job to perform ad-hoc analyses and use Amazon QuickSight to develop data visualizations.

Show Answer

Correct Answer: A

https://aws.amazon.com/blogs/big-data/analyzing-aws-waf-logs-with-amazon-es-amazon-athena-and-amazon-quicksight/

Question No. 2

A data analyst notices the following error message while loading data to an Amazon Redshift cluster:

"The bucket you are attempting to access must be addressed using the specified endpoint."

What should the data analyst do to resolve this issue?

ASpecify the correct AWS Region for the Amazon S3 bucket by using the REGION option with the COPY command.

BChange the Amazon S3 object's ACL to grant the S3 bucket owner full control of the object.

CLaunch the Redshift cluster in a VPC.

DConfigure the timeout settings according to the operating system used to connect to the Redshift cluster.

Show Answer

Correct Answer: A

The correct answer is

A Specify the correct AWS Region for the Amazon S3 bucket by using the REGION option with the COPY command.

The error message indicates that the Amazon S3 bucket and the Redshift cluster are not in the same region. To load data from a different region, the COPY command needs to specify the source region using the REGION option. For example, if the Redshift cluster is in US East (N. Virginia) and the S3 bucket is in Asia Pacific (Mumbai), the COPY command should include REGION 'ap-south-1'. This option tells Redshift to use the appropriate endpoint to access the S3 bucket. For more information, see Copy command options and COPY - Amazon Redshift.

Question No. 3

A large media company is looking for a cost-effective storage and analysis solution for its daily media recordings formatted with embedded metadat

a. Daily data sizes range between 10-12 TB with stream analysis required on timestamps, video resolutions, file sizes, closed captioning, audio languages, and more. Based on the analysis,

processing the datasets is estimated to take between 30-180 minutes depending on the underlying framework selection. The analysis will be done by using business intelligence (Bl) tools that can be connected to data sources with AWS or Java Database Connectivity (JDBC) connectors.

Which solution meets these requirements?

AStore the video files in Amazon DynamoDB and use AWS Lambda to extract the metadata from the files and load it to DynamoDB. Use DynamoDB to provide the data to be analyzed by the Bl tools.

BStore the video files in Amazon S3 and use AWS Lambda to extract the metadata from the files and load it to Amazon S3. Use Amazon Athena to provide the data to be analyzed by the BI tools.

CStore the video files in Amazon DynamoDB and use Amazon EMR to extract the metadata from the files and load it to Apache Hive. Use Apache Hive to provide the data to be analyzed by the Bl tools.

DStore the video files in Amazon S3 and use AWS Glue to extract the metadata from the files and load it to Amazon Redshift. Use Amazon Redshift to provide the data to be analyzed by the Bl tools.

Show Answer

Correct Answer: B

Question No. 4

A company uses the Amazon Kinesis SDK to write data to Kinesis Data Streams. Compliance requirements state that the data must be encrypted at rest using a key that can be rotated. The company wants to meet this encryption requirement with minimal coding effort.

How can these requirements be met?

ACreate a customer master key (CMK) in AWS KMS. Assign the CMK an alias. Use the AWS Encryption SDK, providing it with the key alias to encrypt and decrypt the data.

BCreate a customer master key (CMK) in AWS KMS. Assign the CMK an alias. Enable server-side encryption on the Kinesis data stream using the CMK alias as the KMS master key.

CCreate a customer master key (CMK) in AWS KMS. Create an AWS Lambda function to encrypt and decrypt the data. Set the KMS key ID in the function's environment variables.

DEnable server-side encryption on the Kinesis data stream using the default KMS key for Kinesis Data
Streams.

Show Answer

Correct Answer: B

Question No. 5

A financial company uses Apache Hive on Amazon EMR for ad-hoc queries. Users are complaining of sluggish performance.

A data analyst notes the following:

Approximately 90% of queries are submitted 1 hour after the market opens.

Hadoop Distributed File System (HDFS) utilization never exceeds 10%.

Which solution would help address the performance issues?

ACreate instance fleet configurations for core and task nodes. Create an automatic scaling policy to scale out the instance groups based on the Amazon CloudWatch CapacityRemainingGB metric. Create an automatic scaling policy to scale in the instance fleet based on the CloudWatch CapacityRemainingGB metric.

BCreate instance fleet configurations for core and task nodes. Create an automatic scaling policy to scale out the instance groups based on the Amazon CloudWatch YARNMemoryAvailablePercentage metric. Create an automatic scaling policy to scale in the instance fleet based on the CloudWatch YARNMemoryAvailablePercentage metric.

CCreate instance group configurations for core and task nodes. Create an automatic scaling policy to scale out the instance groups based on the Amazon CloudWatch CapacityRemainingGB metric. Create an
automatic scaling policy to scale in the instance groups based on the CloudWatch CapacityRemainingGB metric.

DCreate instance group configurations for core and task nodes. Create an automatic scaling policy to scale out the instance groups based on the Amazon CloudWatch YARNMemoryAvailablePercentage metric. Create an automatic scaling policy to scale in the instance groups based on the CloudWatch YARNMemoryAvailablePercentage metric.

Show Answer

Correct Answer: D

https://docs.aws.amazon.com/emr/latest/ManagementGuide/emr-plan-instances-guidelines.html