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Amazon Web Services DAS-C01 Exam With Confidence Using Practice Dumps

Exam Code:
DAS-C01
Exam Name:
AWS Certified Data Analytics - Specialty
Certification:
AWS Certified Data Analytics
Vendor:
Amazon Web Services
Questions:
207
Last Updated:
Feb 5, 2025
Exam Status:
Stable
Amazon Web Services DAS-C01

DAS-C01: AWS Certified Data Analytics Exam 2025 Study Guide Pdf and Test Engine

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AWS Certified Data Analytics - Specialty Questions and Answers

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Question 1

A media analytics company consumes a stream of social media posts. The posts are sent to an Amazon Kinesis data stream partitioned on user_id. An AWS Lambda function retrieves the records and validates the content before loading the posts into an Amazon Elasticsearch cluster. The validation process needs to receive the posts for a given user in the order they were received. A data analyst has noticed that, during peak hours, the social media platform posts take more than an hour to appear in the Elasticsearch cluster.

What should the data analyst do reduce this latency?

Options:

A.

Migrate the validation process to Amazon Kinesis Data Firehose.

B.

Migrate the Lambda consumers from standard data stream iterators to an HTTP/2 stream consumer.

C.

Increase the number of shards in the stream.

D.

Configure multiple Lambda functions to process the stream.

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Question 2

A hospital is building a research data lake to ingest data from electronic health records (EHR) systems from multiple hospitals and clinics. The EHR systems are independent of each other and do not have a common patient identifier. The data engineering team is not experienced in machine learning (ML) and has been asked to generate a unique patient identifier for the ingested records.

Which solution will accomplish this task?

Options:

A.

An AWS Glue ETL job with the FindMatches transform

B.

Amazon Kendra

C.

Amazon SageMaker Ground Truth

D.

An AWS Glue ETL job with the ResolveChoice transform

Question 3

A company uses Amazon Redshift for its data warehouse. The company is running an ET L process that receives data in data parts from five third-party providers. The data parts contain independent records that are related to one specific job. The company receives the data parts at various times throughout each day.

A data analytics specialist must implement a solution that loads the data into Amazon Redshift only after the company receives all five data parts.

Which solution will meet these requirements?

Options:

A.

Create an Amazon S3 bucket to receive the data. Use S3 multipart upload to collect the data from the different sources andto form a single object before loading the data into Amazon Redshift.

B.

Use an AWS Lambda function that is scheduled by cron to load the data into a temporary table in Amazon Redshift. Use Amazon Redshift database triggers to consolidate the final data when all five data parts are ready.

C.

Create an Amazon S3 bucket to receive the data. Create an AWS Lambda function that is invoked by S3 upload events. Configure the function to validate that all five data parts are gathered before the function loads the data into Amazon Redshift.

D.

Create an Amazon Kinesis Data Firehose delivery stream. Program a Python condition that will invoke a buffer flush when all five data parts are received.

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