DAS-C01 Amazon-Web-Services Exam Questions and Free Practice Test

Question 26

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?

A. Create 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 dat

B. Use the Spark Streaming application to detect the known event sequence and send the SNS message.

C. Create 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.

D. Create an Amazon Kinesis Data Firehose delivery stream to capture the incoming sensor dat

E. Use an AWS Lambda transformation function to detect the known event sequence and send the SNS message.

F. Create an Amazon Kinesis data stream to capture the incoming sensor data and create another stream for alert message

G. Set up AWS Application Auto Scaling on bot

H. Create a Kinesis Data Analytics for Java application to detect the known event sequence, and add a message to the message strea

I. Configure an AWS Lambda function to poll the message stream and publish to the SNS topic.

Correct Answer:D

Question 27

A company owns facilities with IoT devices installed across the world. The company is using Amazon Kinesis Data Streams to stream data from the devices to Amazon S3. The company's operations team wants to get insights from the IoT data to monitor data quality at ingestion. The insights need to be derived in near-real time, and the output must be logged to Amazon DynamoDB for further analysis.
Which solution meets these requirements?

A. Connect Amazon Kinesis Data Analytics to analyze the stream dat

B. Save the output to DynamoDB by using the default output from Kinesis Data Analytics.

C. Connect Amazon Kinesis Data Analytics to analyze the stream dat

D. Save the output to DynamoDB by using an AWS Lambda function.

E. Connect Amazon Kinesis Data Firehose to analyze the stream data by using an AWS Lambda function.Save the output to DynamoDB by using the default output from Kinesis Data Firehose.

F. Connect Amazon Kinesis Data Firehose to analyze the stream data by using an AWS Lambda function.Save the data to Amazon S3. Then run an AWS Glue job on schedule to ingest the data into DynamoDB.

Correct Answer:C

Question 28

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?

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

Correct Answer:A
Matching Records with AWS Lake Formation FindMatches

Question 29

A company is building a data lake and needs to ingest data from a relational database that has time-series data. The company wants to use managed services to accomplish this. The process needs to be scheduled daily and bring incremental data only from the source into Amazon S3.
What is the MOST cost-effective approach to meet these requirements?

A. Use AWS Glue to connect to the data source using JDBC Driver

B. Ingest incremental records only using job bookmarks.

C. Use AWS Glue to connect to the data source using JDBC Driver

D. Store the last updated key in an Amazon DynamoDB table and ingest the data using the updated key as a filter.

E. Use AWS Glue to connect to the data source using JDBC Drivers and ingest the entire datase

F. Use appropriate Apache Spark libraries to compare the dataset, and find the delta.

G. Use AWS Glue to connect to the data source using JDBC Drivers and ingest the full dat

H. Use AWSDataSync to ensure the delta only is written into Amazon S3.

Correct Answer:A
https://docs.aws.amazon.com/glue/latest/dg/monitor-continuations.html

Question 30

An Amazon Redshift database contains sensitive user data. Logging is necessary to meet compliance requirements. The logs must contain database authentication attempts, connections, and disconnections. The logs must also contain each query run against the database and record which database user ran each query.
Which steps will create the required logs?

A. Enable Amazon Redshift Enhanced VPC Routin

B. Enable VPC Flow Logs to monitor traffic.

C. Allow access to the Amazon Redshift database using AWS IAM onl

D. Log access using AWS CloudTrail.

E. Enable audit logging for Amazon Redshift using the AWS Management Console or the AWS CLI.

F. Enable and download audit reports from AWS Artifact.