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

The questions for DAS-C01 were last updated On Feb 21, 2025

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Question No. 1

A data analyst runs a large number of data manipulation language (DML) queries by using Amazon Athena with the JDBC driver. Recently, a query failed after It ran for 30 minutes. The query returned the following message

Java.sql.SGLException: Query timeout

The data analyst does not immediately need the query results However, the data analyst needs a long-term solution for this problem

Which solution will meet these requirements?

ASplit the query into smaller queries to search smaller subsets of data.

BIn the settings for Athena, adjust the DML query timeout limit

CIn the Service Quotas console, request an increase for the DML query timeout

DSave the tables as compressed .csv files

Show Answer

Correct Answer: A

Question No. 2

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?

AMigrate the validation process to Amazon Kinesis Data Firehose.

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

CIncrease the number of shards in the stream.

DConfigure multiple Lambda functions to process the stream.

Show Answer

Correct Answer: D

Question No. 3

A company has several Amazon EC2 instances sitting behind an Application Load Balancer (ALB) The company wants its IT Infrastructure team to analyze the IP addresses coming into the company's ALB The ALB is configured to store access logs in Amazon S3 The access logs create about 1 TB of data each day, and access to the data will be infrequent The company needs a solution that is scalable, cost-effective and has minimal maintenance requirements

Which solution meets these requirements?

ACopy the data into Amazon Redshift and query the data

BUse Amazon EMR and Apache Hive to query the S3 data

CUse Amazon Athena to query the S3 data

DUse Amazon Redshift Spectrum to query the S3 data

Show Answer

Correct Answer: D

Question No. 4

A regional energy company collects voltage data from sensors attached to buildings. To address any known dangerous conditions, the company wants to be alerted when a sequence of two voltage drops is detected within 10 minutes of a voltage spike at the same building. It is important to ensure that all messages are delivered as quickly as possible. The system must be fully managed and highly available. The company also needs a solution that will automatically scale up as it covers additional cites with this monitoring feature. The alerting system is subscribed to an Amazon SNS topic for remediation.

Which solution meets these requirements?

ACreate an Amazon Managed Streaming for Kafka cluster to ingest the data, and use an Apache Spark Streaming with Apache Kafka consumer API in an automatically scaled Amazon EMR cluster to process the incoming data. Use the Spark Streaming application to detect the known event sequence and send the SNS message.

BCreate a REST-based web service using Amazon API Gateway in front of an AWS Lambda function. Create an Amazon RDS for PostgreSQL database with sufficient Provisioned IOPS (PIOPS). In the Lambda function, store incoming events in the RDS database and query the latest data to detect the known event sequence and send the SNS message.

CCreate an Amazon Kinesis Data Firehose delivery stream to capture the incoming sensor data. Use an AWS Lambda transformation function to detect the known event sequence and send the SNS message.

DCreate an Amazon Kinesis data stream to capture the incoming sensor data and create another stream for alert messages. Set up AWS Application Auto Scaling on both. Create a Kinesis Data Analytics for Java application to detect the known event sequence, and add a message to the message stream. Configure an AWS Lambda function to poll the message stream and publish to the SNS topic.

Show Answer

Correct Answer: D

Question No. 5

A company developed a new voting results 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 solution to perform this infrequent data analysis with data visualization capabilities in a way that requires minimal development effort.

Which solution MOST cost-effectively meets these requirements?

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

BConfigure Kinesis Data Firehose to deliver the logs to an Amazon OpenSearch Service cluster. Use OpenSearch Service REST APIs to analyze the data. Visualize the data by building an OpenSearch Service dashboard.

CCreate an AWS Lambda function to convert the logs to CSV format. Add the Lambda function to the Kinesis Data Firehose transformation configuration. Use Amazon Redshift to perform a one-time analysis of the logs by using SQL queries. Develop data visualizations by using Amazon QuickSight.

DCreate an Amazon EMR cluster and use Amazon S3 as the data source. Create an Apache Spark job to perform a one-time analysis of the logs. Develop data visualizations by using Amazon QuickSight.

Show Answer

Correct Answer: A

This solution meets the requirements because:

AWS Glue is a fully managed extract, transform, and load (ETL) service that can be used to prepare and load data for analytics1.You can use AWS Glue to create a crawler that automatically scans your logs in S3 and infers their schema and format1.The crawler can also update the AWS Glue Data Catalog, which is a central metadata repository that Athena uses to access your data in S31.

Amazon Athena is an interactive query service that allows you to analyze data in S3 using standard SQL2.You can use Athena to perform ad-hoc analyses on your logs without having to load them into a database or data warehouse2.Athena is serverless, so you only pay for the queries you run and the amount of data scanned by each query2.

Amazon QuickSight is a scalable, serverless, embeddable, machine learning-powered business intelligence service that can create interactive dashboards3.You can use QuickSight to develop data visualizations from your Athena queries and share them with others3.QuickSight also supports live analytics, which means you can see the latest data without having to refresh your dashboards3.