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Exam Code: AWS-Certified-Data-Analytics-Specialty
Exam Title: AWS Certified Data Analytics - Specialty
Vendor: Amazon
Exam Questions: 157
Last Updated: November 15th,2024

Question 1

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 2

A company’s data analyst needs to ensure that queries executed in Amazon Athena cannot scan more than a prescribed amount of data for cost control purposes. Queries that exceed the prescribed threshold must be canceled immediately.
What should the data analyst do to achieve this?

A. Configure Athena to invoke an AWS Lambda function that terminates queries when the prescribed threshold is crossed.
B. For each workgroup, set the control limit for each query to the prescribed threshold.
C. Enforce the prescribed threshold on all Amazon S3 bucket policies
D. For each workgroup, set the workgroup-wide data usage control limit to the prescribed threshold.

Correct Answer:B
https://docs.aws.amazon.com/athena/latest/ug/manage-queries-control-costs-with-workgroups.html

Question 3

A marketing company is using Amazon EMR clusters for its workloads. The company manually installs third- party libraries on the clusters by logging in to the master nodes. A data analyst needs to create an automated solution to replace the manual process.
Which options can fulfill these requirements? (Choose two.)

A. Place the required installation scripts in Amazon S3 and execute them using custom bootstrap actions.
B. Place the required installation scripts in Amazon S3 and execute them through Apache Spark in Amazon EMR.
C. Install the required third-party libraries in the existing EMR master nod
D. Create an AMI out of that master node and use that custom AMI to re-create the EMR cluster.
E. Use an Amazon DynamoDB table to store the list of required application
F. Trigger an AWS Lambda function with DynamoDB Streams to install the software.
G. Launch an Amazon EC2 instance with Amazon Linux and install the required third-party libraries on the instanc
H. Create an AMI and use that AMI to create the EMR cluster.

Correct Answer:AE
https://aws.amazon.com/about-aws/whats-new/2017/07/amazon-emr-now-supports-launching-clusters-with-cust https://docs.aws.amazon.com/de_de/emr/latest/ManagementGuide/emr-plan-bootstrap.html

Question 4

A company launched a service that produces millions of messages every day and uses Amazon Kinesis Data Streams as the streaming service.
The company uses the Kinesis SDK to write data to Kinesis Data Streams. A few months after launch, a data analyst found that write performance is significantly reduced. The data analyst investigated the metrics and determined that Kinesis is throttling the write requests. The data analyst wants to address this issue without significant changes to the architecture.
Which actions should the data analyst take to resolve this issue? (Choose two.)

A. Increase the Kinesis Data Streams retention period to reduce throttling.
B. Replace the Kinesis API-based data ingestion mechanism with Kinesis Agent.
C. Increase the number of shards in the stream using the UpdateShardCount API.
D. Choose partition keys in a way that results in a uniform record distribution across shards.
E. Customize the application code to include retry logic to improve performance.

Correct Answer:CD
https://aws.amazon.com/blogs/big-data/under-the-hood-scaling-your-kinesis-data-streams/

Question 5

An ecommerce company stores customer purchase data in Amazon RDS. The company wants a solution to store and analyze historical data. The most recent 6 months of data will be queried frequently for analytics workloads. This data is several terabytes large. Once a month, historical data for the last 5 years must be accessible and will be joined with the more recent data. The company wants to optimize performance and cost.
Which storage solution will meet these requirements?

A. Create a read replica of the RDS database to store the most recent 6 months of dat
B. Copy the historical data into Amazon S3. Create an AWS Glue Data Catalog of the data in Amazon S3 and Amazon RD
C. Run historical queries using Amazon Athena.
D. Use an ETL tool to incrementally load the most recent 6 months of data into an Amazon Redshift cluste
E. Run more frequent queries against this cluste
F. Create a read replica of the RDS database to run queries on the historical data.
G. Incrementally copy data from Amazon RDS to Amazon S3. Create an AWS Glue Data Catalog of the data in Amazon S3. Use Amazon Athena to query the data.
H. Incrementally copy data from Amazon RDS to Amazon S3. Load and store the most recent 6 months of data in Amazon Redshif
I. Configure an Amazon Redshift Spectrum table to connect to all historical data.

Correct Answer:D