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Amazon AWS-Certified-Data-Analytics-Specialty: AWS Certified Data Analytics - Specialty

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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

An online retail company with millions of users around the globe wants to improve its ecommerce analytics capabilities. Currently, clickstream data is uploaded directly to Amazon S3 as compressed files. Several times each day, an application running on Amazon EC2 processes the data and makes search options and reports available for visualization by editors and marketers. The company wants to make website clicks and aggregated data available to editors and marketers in minutes to enable them to connect with users more effectively.
Which options will help meet these requirements in the MOST efficient way? (Choose two.)

A. Use Amazon Kinesis Data Firehose to upload compressed and batched clickstream records to Amazon Elasticsearch Service.

B. Upload clickstream records to Amazon S3 as compressed file

C. Then use AWS Lambda to send data to Amazon Elasticsearch Service from Amazon S3.

D. Use Amazon Elasticsearch Service deployed on Amazon EC2 to aggregate, filter, and process the data.Refresh content performance dashboards in near-real time.

E. Use Kibana to aggregate, filter, and visualize the data stored in Amazon Elasticsearch Servic

F. Refresh content performance dashboards in near-real time.

G. Upload clickstream records from Amazon S3 to Amazon Kinesis Data Streams and use a Kinesis Data Streams consumer to send records to Amazon Elasticsearch Service.

Correct Answer:AD

Question 3

A marketing company wants to improve its reporting and business intelligence capabilities. During the planning phase, the company interviewed the relevant stakeholders and discovered that:
AWS-Certified-Data-Analytics-Specialty dumps exhibit The operations team reports are run hourly for the current month’s data.
The sales team wants to use multiple Amazon QuickSight dashboards to show a rolling view of the last 30 days based on several categories.
The sales team also wants to view the data as soon as it reaches the reporting backend.
AWS-Certified-Data-Analytics-Specialty dumps exhibit The finance team’s reports are run daily for last month’s data and once a month for the last 24 months of data.
Currently, there is 400 TB of data in the system with an expected additional 100 TB added every month. The company is looking for a solution that is as cost-effective as possible.
Which solution meets the company’s requirements?

A. Store the last 24 months of data in Amazon Redshif

B. Configure Amazon QuickSight with Amazon Redshift as the data source.

C. Store the last 2 months of data in Amazon Redshift and the rest of the months in Amazon S3. Set up an external schema and table for Amazon Redshift Spectru

D. Configure Amazon QuickSight with Amazon Redshift as the data source.

E. Store the last 24 months of data in Amazon S3 and query it using Amazon Redshift Spectrum.Configure Amazon QuickSight with Amazon Redshift Spectrum as the data source.

F. Store the last 2 months of data in Amazon Redshift and the rest of the months in Amazon S3. Use a long- running Amazon EMR with Apache Spark cluster to query the data as neede

G. Configure Amazon QuickSight with Amazon EMR as the data source.

Correct Answer:B

Question 4

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 5

A global pharmaceutical company receives test results for new drugs from various testing facilities worldwide. The results are sent in millions of 1 KB-sized JSON objects to an Amazon S3 bucket owned by the company. The data engineering team needs to process those files, convert them into Apache Parquet format, and load them into Amazon Redshift for data analysts to perform dashboard reporting. The engineering team uses AWS Glue to process the objects, AWS Step Functions for process orchestration, and Amazon CloudWatch for job scheduling.
More testing facilities were recently added, and the time to process files is increasing. What will MOST efficiently decrease the data processing time?

A. Use AWS Lambda to group the small files into larger file

B. Write the files back to Amazon S3. Process the files using AWS Glue and load them into Amazon Redshift tables.

C. Use the AWS Glue dynamic frame file grouping option while ingesting the raw input file

D. Process the files and load them into Amazon Redshift tables.

E. Use the Amazon Redshift COPY command to move the files from Amazon S3 into Amazon Redshift tables directl

F. Process the files in Amazon Redshift.

G. Use Amazon EMR instead of AWS Glue to group the small input file

H. Process the files in Amazon EMR and load them into Amazon Redshift tables.

Correct Answer:A

Question 6

A company needs to collect streaming data from several sources and store the data in the AWS Cloud. The dataset is heavily structured, but analysts need to perform several complex SQL queries and need consistent performance. Some of the data is queried more frequently than the rest. The company wants a solution that meets its performance requirements in a cost-effective manner.
Which solution meets these requirements?

A. Use Amazon Managed Streaming for Apache Kafka to ingest the data to save it to Amazon S3. Use Amazon Athena to perform SQL queries over the ingested data.

B. Use Amazon Managed Streaming for Apache Kafka to ingest the data to save it to Amazon Redshift.Enable Amazon Redshift workload management (WLM) to prioritize workloads.

C. Use Amazon Kinesis Data Firehose to ingest the data to save it to Amazon Redshif

D. Enable Amazon Redshift workload management (WLM) to prioritize workloads.

E. Use Amazon Kinesis Data Firehose to ingest the data to save it to Amazon S3. Load frequently queried data to Amazon Redshift using the COPY comman

F. Use Amazon Redshift Spectrum for less frequently queried data.

Correct Answer:B

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