WGU D282 AWS CLOUD PRACTITIONER
ESSENTIALS COMPREHENSIVE FINAL
PAPER 2026 QUESTIONS WITH ANSWERS
GRADED A+
⩥ Amazon FSx Use Cases. Answer: 1. Migrate workloads to the cloud
2. Good for HPC applications that require highly performant and
scalable file storage to support large clusters of compute resources and
huge volumes of data
3. Simplify business continuity (backups and long term data retention)
4. Increase development and test agility
5. Accelerate media and entertainment workloads
⩥ Amazon Elastic Block Storage (EBS). Answer: -scalable, high-
performance block storage resources that can be used with EC2
instances
-EBS Volumes
-EBS Snapshots
-multiple volume types
⩥ EBS Volumes. Answer: -storage volumes that you attach to Amazon
EC2 Instances
-use to store files or to install applications
,⩥ EBS Snapshots. Answer: -point in time backups of EBS volumes that
persist independently from the volume itself
-create and restore
⩥ Amazon Athena. Answer: -interactive query service for analyzing data
in S3 using SQL
-serverless: no infrastructure to manage
-only pay for queries ran
-no ETL (extract, transform, load)
⩥ Amazon EMR. Answer: -managed Hadoop (Hadoop is an open-source
software framework designed for storing and processing large amounts
of data in a distributed computing environment.) framework
-for processing large amounts of data across EC2 Instances
-can run other frameworks
-can interact w/ data in other AWS stores like S3 and DynamoDB
-Big Data Use Cases: log analysis, web indexing, data transformations,
machine learning, financial analysis, scientific simulation and
bioinformatics
⩥ Amazon CloudSearch. Answer: -managed service in AWS Cloud
-simple and cost-effective to set up, manage, and scale a search solution
for your website and application
, -features example: highlighting, autocomplete, and geospatial search
⩥ Amazon Elasticsearch Service. Answer: -search, analyze, and
visualize data in real-time
-easy to use APIs (Application Programming Interface)
-Use Cases: log analytics, full-text search, application monitoring,
clickstream analytics
-service offers integrations with open-source tools (Kibana and
Logstash) for data ingestion and visualization
-integrates with other AWS services
⩥ Amazon Kinesis. Answer: -collect, process, and analyze real-time
streaming data for timely insights and react quickly to new info
-ingest real-time data such as video, audio, application logs, website
clickstreams, and IoT telemetry data for machine learning, analytics, and
other applications
-choose tools you need
-scalable and cost-effective
-fast response to new data
⩥ Amazon Kinesis Data Firehose. Answer: -easiest way to reliably load
streaming data into Amazon S3. Redshift, Elasticsearch Service, and
Splunk
ESSENTIALS COMPREHENSIVE FINAL
PAPER 2026 QUESTIONS WITH ANSWERS
GRADED A+
⩥ Amazon FSx Use Cases. Answer: 1. Migrate workloads to the cloud
2. Good for HPC applications that require highly performant and
scalable file storage to support large clusters of compute resources and
huge volumes of data
3. Simplify business continuity (backups and long term data retention)
4. Increase development and test agility
5. Accelerate media and entertainment workloads
⩥ Amazon Elastic Block Storage (EBS). Answer: -scalable, high-
performance block storage resources that can be used with EC2
instances
-EBS Volumes
-EBS Snapshots
-multiple volume types
⩥ EBS Volumes. Answer: -storage volumes that you attach to Amazon
EC2 Instances
-use to store files or to install applications
,⩥ EBS Snapshots. Answer: -point in time backups of EBS volumes that
persist independently from the volume itself
-create and restore
⩥ Amazon Athena. Answer: -interactive query service for analyzing data
in S3 using SQL
-serverless: no infrastructure to manage
-only pay for queries ran
-no ETL (extract, transform, load)
⩥ Amazon EMR. Answer: -managed Hadoop (Hadoop is an open-source
software framework designed for storing and processing large amounts
of data in a distributed computing environment.) framework
-for processing large amounts of data across EC2 Instances
-can run other frameworks
-can interact w/ data in other AWS stores like S3 and DynamoDB
-Big Data Use Cases: log analysis, web indexing, data transformations,
machine learning, financial analysis, scientific simulation and
bioinformatics
⩥ Amazon CloudSearch. Answer: -managed service in AWS Cloud
-simple and cost-effective to set up, manage, and scale a search solution
for your website and application
, -features example: highlighting, autocomplete, and geospatial search
⩥ Amazon Elasticsearch Service. Answer: -search, analyze, and
visualize data in real-time
-easy to use APIs (Application Programming Interface)
-Use Cases: log analytics, full-text search, application monitoring,
clickstream analytics
-service offers integrations with open-source tools (Kibana and
Logstash) for data ingestion and visualization
-integrates with other AWS services
⩥ Amazon Kinesis. Answer: -collect, process, and analyze real-time
streaming data for timely insights and react quickly to new info
-ingest real-time data such as video, audio, application logs, website
clickstreams, and IoT telemetry data for machine learning, analytics, and
other applications
-choose tools you need
-scalable and cost-effective
-fast response to new data
⩥ Amazon Kinesis Data Firehose. Answer: -easiest way to reliably load
streaming data into Amazon S3. Redshift, Elasticsearch Service, and
Splunk
