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 Jul 21, 2026.

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Question No. 1

A media company wants to perform machine learning and analytics on the data residing in its Amazon S3 data lake. There are two data transformation requirements that will enable the consumers within the company to create reports:

Daily transformations of 300 GB of data with different file formats landing in Amazon S3 at a scheduled time.

One-time transformations of terabytes of archived data residing in the S3 data lake.

Which combination of solutions cost-effectively meets the company's requirements for transforming the data? (Choose three.)

AFor daily incoming data, use AWS Glue crawlers to scan and identify the schema.

BFor daily incoming data, use Amazon Athena to scan and identify the schema.

CFor daily incoming data, use Amazon Redshift to perform transformations.

DFor daily incoming data, use AWS Glue workflows with AWS Glue jobs to perform transformations.

EFor archived data, use Amazon EMR to perform data transformations.

FFor archived data, use Amazon SageMaker to perform data transformations.

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Correct Answer: A, D, E

Question No. 2

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.

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Correct Answer: B

Question No. 3

A large ride-sharing company has thousands of drivers globally serving millions of unique customers every day. The company has decided to migrate an existing data mart to Amazon Redshift. The existing schema includes the following tables.

A trips fact table for information on completed rides. A drivers dimension table for driver profiles.

A customers fact table holding customer profile information.

The company analyzes trip details by date and destination to examine profitability by region. The drivers data rarely changes. The customers data frequently changes.

What table design provides optimal query performance?

AUse DISTSTYLE KEY (destination) for the trips table and sort by date. Use DISTSTYLE ALL for the drivers and customers tables.

BUse DISTSTYLE EVEN for the trips table and sort by date. Use DISTSTYLE ALL for the drivers table. Use DISTSTYLE EVEN for the customers table.

CUse DISTSTYLE KEY (destination) for the trips table and sort by date. Use DISTSTYLE ALL for the drivers table. Use DISTSTYLE EVEN for the customers table.

DUse DISTSTYLE EVEN for the drivers table and sort by date. Use DISTSTYLE ALL for both fact tables.

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Correct Answer: C

https://www.matillion.com/resources/blog/aws-redshift-performance-choosing-the-right-distribution-styles/#:~:text=The%20distribution%20style%20is%20how,you%20want%20to%20distribute%20it%E2%80%A6 https://docs.aws.amazon.com/redshift/latest/dg/c_best-practices-best-dist-key.html

Question No. 4

A hospital uses an electronic health records (EHR) system to collect two types of data

* Patient information, which includes a patient's name and address

* Diagnostic tests conducted and the results of these tests

Patient information is expected to change periodically Existing diagnostic test data never changes and only new records are added

The hospital runs an Amazon Redshift cluster with four dc2.large nodes and wants to automate the ingestion of the patient information and diagnostic test data into respective Amazon Redshift tables for analysis The EHR system exports data as CSV files to an Amazon S3 bucket on a daily basis Two sets of CSV files are generated One set of files is for patient information with updates, deletes, and inserts The other set of files is for new diagnostic test data only

What is the MOST cost-effective solution to meet these requirements?

AUse Amazon EMR with Apache Hudi. Run daily ETL jobs using Apache Spark and the Amazon Redshift JDBC driver

BUse an AWS Glue crawler to catalog the data in Amazon S3 Use Amazon Redshift Spectrum to perform scheduled queries of the data in Amazon S3 and ingest the data into the patient information table and the diagnostic tests table.

CUse an AWS Lambda function to run a COPY command that appends new diagnostic test data to the diagnostic tests table Run another COPY command to load the patient information data into the staging tables Use a stored procedure to handle create update, and delete operations for the patient information table

DUse AWS Database Migration Service (AWS DMS) to collect and process change data capture (CDC) records Use the COPY command to load patient information data into the staging tables. Use a stored procedure to handle create, update and delete operations for the patient information table

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Correct Answer: B

Question No. 5

A company uses Amazon Connect to manage its contact center. The company uses Salesforce to manage its customer relationship management (CRM) dat

a. The company must build a pipeline to ingest data from Amazon Connect and Salesforce into a data lake that is built on Amazon S3.

Which solution will meet this requirement with the LEAST operational overhead?

AUse Amazon Kinesis Data Streams to ingest the Amazon Connect data. Use Amazon AppFlow to ingest the Salesforce data.

BUse Amazon Kinesis Data Firehose to ingest the Amazon Connect data. Use Amazon Kinesis Data Streams to ingest the Salesforce data.

CUse Amazon Kinesis Data Firehose to ingest the Amazon Connect data. Use Amazon AppFlow to ingest the Salesforce data.

DUse Amazon AppFlow to ingest the Amazon Connect data. Use Amazon Kinesis Data Firehose to ingest the Salesforce data.

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Correct Answer: B

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