Most Recent Amazon DAS-C01 Exam Dumps

Prepare for the Amazon AWS Certified Data Analytics - Specialty exam with our extensive collection of questions and answers. These practice Q&A are updated according to the latest syllabus, providing you with the tools needed to review and test your knowledge.

QA4Exam focus on the latest syllabus and exam objectives, our practice Q&A are designed to help you identify key topics and solidify your understanding. By focusing on the core curriculum, These Questions & Answers helps you cover all the essential topics, ensuring you're well-prepared for every section of the exam. Each question comes with a detailed explanation, offering valuable insights and helping you to learn from your mistakes. Whether you're looking to assess your progress or dive deeper into complex topics, our updated Q&A will provide the support you need to confidently approach the Amazon DAS-C01 exam and achieve success.

The questions for DAS-C01 were last updated on Sep 2, 2026.

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Question No. 1

A manufacturing company has many loT devices in different facilities across the world The company is using Amazon Kinesis Data Streams to collect the data from the devices

The company's operations team has started to observe many WnteThroughputExceeded exceptions The operations team determines that the reason is the number of records that are being written to certain shards The data contains device ID capture date measurement type, measurement value and facility ID The facility ID is used as the partition key

Which action will resolve this issue?

AChange the partition key from facility ID to a randomly generated key

BIncrease the number of shards

CArchive the data on the producers' side

DChange the partition key from facility ID to capture date

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Correct Answer: B

Question No. 2

A company collects and transforms data files from third-party providers by using an on-premises SFTP server. The company uses a Python script to transform the dat

The company wants to reduce the overhead of maintaining the SFTP server and storing large amounts of data on premises. However, the company does not want to change the existing upload process for the third-party providers.

Which solution will meet these requirements with the LEAST development effort?

ADeploy the Python script on an Amazon EC2 instance. Install a third-party SFTP server on the EC2 instance. Schedule the script to run periodically on the EC2 instance to perform a data transformation on new files. Copy the transformed files to Amazon S3.

BCreate an Amazon S3 bucket that includes a separate prefix for each provider. Provide the S3 URL to each provider for its respective prefix. Instruct the providers to use the S3 COPY command to upload data. Configure an AWS Lambda function that transforms the data when new files are uploaded.

CUse AWS Transfer Family to create an SFTP server that includes a publicly accessible endpoint. Configure the new server to use Amazon S3 storage. Change the server name to match the name of the on-premises SFTP server. Schedule a Python shell job in AWS Glue to use the existing Python script to run periodically and transform the uploaded files.

DUse AWS Transfer Family to create an SFTP server that includes a publicly accessible endpoint. Configure the new server to use Amazon S3 storage. Change the server name to match the name of the on-premises SFTP server. Use AWS Data Pipeline to schedule a transient Amazon EMR cluster with an Apache Spark step to periodically transform the files.

Show Answer

Correct Answer: C

This solution meets the requirements because:

AWS Transfer Family is a fully managed service that enables secure file transfers to and from Amazon S3 or Amazon EFS using standard protocols such as SFTP, FTPS, and FTP1. By using AWS Transfer Family, the company can reduce the overhead of maintaining the on-premises SFTP server and storing large amounts of data on premises.

The company can create an SFTP-enabled server with a publicly accessible endpoint using AWS Transfer Family. This endpoint can be accessed by the third-party providers over the internet using their existing SFTP clients. The company can also change the server name to match the name of the on-premises SFTP server, so that the existing upload process for the third-party providers does not change. For more information, seeCreate an SFTP-enabled server.

The company can configure the new SFTP server to use Amazon S3 as the storage service. This way, the data files uploaded by the third-party providers will be stored in an Amazon S3 bucket. The company can also use AWS Identity and Access Management (IAM) roles and policies to control access to the S3 bucket and its objects. For more information, seeUsing Amazon S3 as your storage service.

The company can schedule a Python shell job in AWS Glue to use the existing Python script to run periodically and transform the uploaded files.AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy to prepare and load data for analytics2.A Python shell job is a type of job that runs Python scripts in a managed Apache Spark environment3.The company can use AWS Glue triggers to schedule the Python shell job based on time or events4. For more information, seeWorking with Python shell jobs.

Question No. 3

A power utility company is deploying thousands of smart meters to obtain real-time updates about power consumption. The company is using Amazon Kinesis Data Streams to collect the data streams from smart meters. The consumer application uses the Kinesis Client Library (KCL) to retrieve the stream dat

a. The company has only one consumer application.

The company observes an average of 1 second of latency from the moment that a record is written to the stream until the record is read by a consumer application. The company must reduce this latency to 500 milliseconds.

Which solution meets these requirements?

AUse enhanced fan-out in Kinesis Data Streams.

BIncrease the number of shards for the Kinesis data stream.

CReduce the propagation delay by overriding the KCL default settings.

DDevelop consumers by using Amazon Kinesis Data Firehose.

Show Answer

Correct Answer: C

The KCL defaults are set to follow the best practice of polling every 1 second. This default results in average propagation delays that are typically below 1 second.

Question No. 4

A marketing company wants to improve its reporting and business intelligence capabilities. During the planning phase, the company interviewed the relevant stakeholders and discovered that:

The operations team reports are run hourly for the current month's data.

The sales team wants to use multiple Amazon QuickSight dashboards to show a rolling view of the last 30 days based on several categories.

The sales team also wants to view the data as soon as it reaches the reporting backend.

The finance team's reports are run daily for last month's data and once a month for the last 24 months of data.

Currently, there is 400 TB of data in the system with an expected additional 100 TB added every month. The company is looking for a solution that is as cost-effective as possible.

Which solution meets the company's requirements?

AStore the last 24 months of data in Amazon Redshift. Configure Amazon QuickSight with Amazon Redshift as the data source.

BStore the last 2 months of data in Amazon Redshift and the rest of the months in Amazon S3. Set up an external schema and table for Amazon Redshift Spectrum. Configure Amazon QuickSight with Amazon Redshift as the data source.

CStore the last 24 months of data in Amazon S3 and query it using Amazon Redshift Spectrum. Configure Amazon QuickSight with Amazon Redshift Spectrum as the data source.

DStore the last 2 months of data in Amazon Redshift and the rest of the months in Amazon S3. Use a long- running Amazon EMR with Apache Spark cluster to query the data as needed. Configure Amazon QuickSight with Amazon EMR as the data source.

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Correct Answer: B

Question No. 5

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?

APublish 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.

BPublish 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.

CPublish 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.

DPublish 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.

Show Answer

Correct Answer: B

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