AWS SAA-C02 Exam (1-50) UPDATED
ACTUAL Questions and CORRECT
Answers
#1
A solutions architect is designing a solution where users will be directed to a backup static error
page if the primary website is unavailable. The primary websiteג€™sDNS records are hosted in
Amazon Route 53 where their domain is pointing to an Application Load Balancer (ALB).Which
configuration should the solutions architect use to meet the companyג€™s needs while
minimizing changes and infrastructure overhead?
A. Point a Route 53 alias record to an Amazon CloudFront distribution with the ALB as one of
its origins. Then, create custom error pages for the distribution.
B. Set up a Route 53 active-passive failover configuration. Direct traffic to a static error page
hosted within an Amazon S3 bucket when Route 53 health checks determine that the ALB
endpoint is unhealthy.
C. Update the Route 53 record to use a latency-based routing policy. Add the backup static error
page hosted within an Amazon S3 bucket to the r - CORRECT ANSWER - (B)
Active-passive failover -Use an active-passive failover configuration when you want a primary
resource or group of resources to be available the majority of the time and you want a secondary
resource or group of resources to be on standby in case all the primary resources become
unavailable. When responding to queries, Route 53 includes only the healthy primary resources.
If all the primary resources are unhealthy, Route 53 begins to include only the healthy secondary
resources in response toDNS queries.To create an active-passive failover configuration with one
primary record and one secondary record, you just create the records and specify Failover for the
routing policy. When the primary resource is healthy, Route 53 responds to DNS queries using
the primary record. When the primary resource is unhealthy, Route53 responds to DNS queries
using the secondary record.How Amazon Route 53 averts cascading failuresAs a first defense
against cascading failures, each request routing algorithm (such as weighted and failover) has a
mode of last resort. In this special mode, when all records are considered unhealthy, the Route 53
algorithm reverts to considering all records healthy.For example, if all instances of an
application, on several hosts, are rejecting health check requests, Route 53 DNS servers will
choose an answer anyway and return it rather than returning no DNS answer or returning an
NXDOMAIN (non-existent domain) response. An application can respond to users but still fail
health checks, so this provides some protection against misconfiguration.Similarly, if an
application is overloaded, and one out of three endpoints fails its health checks, so that it's
excluded from Route 53 DNS responses, Route 53 distributes responses between the two
remaining endpoints. If the remaining endpoints are unable to handle th
,#2
A solutions architect is designing a high performance computing (HPC) workload on Amazon
EC2. The EC2 instances need to communicate to each other frequently and require network
performance with low latency and high throughput.Which EC2 configuration meets these
requirements?
A. Launch the EC2 instances in a cluster placement group in one Availability Zone.
B. Launch the EC2 instances in a spread placement group in one Availability Zone.
C. Launch the EC2 instances in an Auto Scaling group in two Regions and peer the VPCs.
D. Launch the EC2 instances in an Auto Scaling group spanning multiple Availability Zones. -
CORRECT ANSWER - (A) Placement groups -When you launch a new EC2 instance, the
EC2 service attempts to place the instance in such a way that all of your instances are spread out
across underlying hardware to minimize correlated failures. You can use placement groups to
influence the placement of a group of interdependent instances to meet the needs of your
workload. Depending on the type of workload.Cluster ג€" packs instances close together inside
an Availability Zone. This strategy enables workloads to achieve the low-latency network
performance necessary for tightly-coupled node-to-node communication that is typical of HPC
applications.Reference:https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/placement-
groups.html
#3
A company wants to host a scalable web application on AWS. The application will be accessed
by users from different geographic regions of the world.Application users will be able to
download and upload unique data up to gigabytes in size. The development team wants a cost-
effective solution to minimize upload and download latency and maximize performance.What
should a solutions architect do to accomplish this?
A. Use Amazon S3 with Transfer Acceleration to host the application.
B. Use Amazon S3 with CacheControl headers to host the application.
C. Use Amazon EC2 with Auto Scaling and Amazon CloudFront to host the application.
D. Use Amazon EC2 with Auto Scaling and Amazon ElastiCache to host the application. -
CORRECT ANSWER - (C)
Reference:https://aws.amazon.com/ec2/autoscaling/
#4
,A company is migrating from an on-premises infrastructure to the AWS Cloud. One of the
companyג€™s applications stores files on a Windows file server farm that uses Distributed File
System Replication (DFSR) to keep data in sync. A solutions architect needs to replace the file
server farm.Which service should the solutions architect use?
A. Amazon EFS
B. Amazon FSx
C. Amazon S3
D. AWS Storage Gateway - CORRECT ANSWER - (B)
Migrating Existing Files to Amazon FSx for Windows File Server Using AWS DataSyncWe
recommend using AWS DataSync to transfer data between Amazon FSx for Windows File Server
file systems. DataSync is a data transfer service that simplifies, automates, and accelerates
moving and replicating data between on-premises storage systems and other AWS storage
services over the internet orAWS Direct Connect. DataSync can transfer your file system data
and metadata, such as ownership, time stamps, and access
permissions.Reference:https://docs.aws.amazon.com/fsx/latest/WindowsGuide/migrate-files-to-
fsx-datasync.html
#5
A company has a legacy application that processes data in two parts. The second part of the
process takes longer than the first, so the company has decided to rewrite the application as two
microservices running on Amazon ECS that can scale independently.How should a solutions
architect integrate the microservices?
A. Implement code in microservice 1 to send data to an Amazon S3 bucket. Use S3 event
notifications to invoke microservice 2.
B. Implement code in microservice 1 to publish data to an Amazon SNS topic. Implement code
in microservice 2 to subscribe to this topic.
C. Implement code in microservice 1 to send data to Amazon Kinesis Data Firehose. Implement
code in microservice 2 to read from Kinesis Data Firehose.
D. Implement code in microservice 1 to send data to an Amazon SQS queue. Implement code in
microservice 2 to process messages from the queue. - CORRECT ANSWER - (D)
#6
A company captures clickstream data from multiple websites and analyzes it using batch
processing. The data is loaded nightly into Amazon Redshift and is consumed by business
analysts. The company wants to move towards near-real-time data processing for timely insights.
, The solution should process the streaming data with minimal effort and operational
overhead.Which combination of AWS services are MOST cost-effective for this solution?
(Choose two.)
A. Amazon EC2
B. AWS Lambda
C. Amazon Kinesis Data Streams
D. Amazon Kinesis Data Firehose
E. Amazon Kinesis Data Analytics - CORRECT ANSWER - (B,D)
Kinesis Data Streams and Kinesis Client Library (KCL) ג€" Data from the data source can be
continuously captured and streamed in near real-time using KinesisData Streams. With the
Kinesis Client Library (KCL), you can build your own application that can preprocess the
streaming data as they arrive and emit the data for generating incremental views and downstream
analysis. Kinesis Data Analytics ג€" This service provides the easiest way to process the data that
is streaming through Kinesis Data Stream or Kinesis Data Firehose using SQL. This enables
customers to gain actionable insight in near real-time from the incremental stream before storing
it in Amazon S3.
#7
A companyג€™s application runs on Amazon EC2 instances behind an Application Load
Balancer (ALB). The instances run in an Amazon EC2 Auto Scaling group across multiple
Availability Zones. On the first day of every month at midnight, the application becomes much
slower when the month-end financial calculation batch executes. This causes the CPU utilization
of the EC2 instances to immediately peak to 100%, which disrupts the application.What should a
solutions architect recommend to ensure the application is able to handle the workload and avoid
downtime?
A. Configure an Amazon CloudFront distribution in front of the ALB.
B. Configure an EC2 Auto Scaling simple scaling policy based on CPU utilization.
C. Configure an EC2 Auto Scaling scheduled scaling policy based on the monthly schedule.
D. Configure Amazon ElastiCache to remove some of the workload from the EC2 instances. -
CORRECT ANSWER - (C)
Scheduled Scaling for Amazon EC2 Auto ScalingScheduled scaling allows you to set your own
scaling schedule. For example, let's say that every week the traffic to your web application starts
to increase onWednesday, remains high on Thursday, and starts to decrease on Friday. You can
plan your scaling actions based on the predictable traffic patterns of your web application.
ACTUAL Questions and CORRECT
Answers
#1
A solutions architect is designing a solution where users will be directed to a backup static error
page if the primary website is unavailable. The primary websiteג€™sDNS records are hosted in
Amazon Route 53 where their domain is pointing to an Application Load Balancer (ALB).Which
configuration should the solutions architect use to meet the companyג€™s needs while
minimizing changes and infrastructure overhead?
A. Point a Route 53 alias record to an Amazon CloudFront distribution with the ALB as one of
its origins. Then, create custom error pages for the distribution.
B. Set up a Route 53 active-passive failover configuration. Direct traffic to a static error page
hosted within an Amazon S3 bucket when Route 53 health checks determine that the ALB
endpoint is unhealthy.
C. Update the Route 53 record to use a latency-based routing policy. Add the backup static error
page hosted within an Amazon S3 bucket to the r - CORRECT ANSWER - (B)
Active-passive failover -Use an active-passive failover configuration when you want a primary
resource or group of resources to be available the majority of the time and you want a secondary
resource or group of resources to be on standby in case all the primary resources become
unavailable. When responding to queries, Route 53 includes only the healthy primary resources.
If all the primary resources are unhealthy, Route 53 begins to include only the healthy secondary
resources in response toDNS queries.To create an active-passive failover configuration with one
primary record and one secondary record, you just create the records and specify Failover for the
routing policy. When the primary resource is healthy, Route 53 responds to DNS queries using
the primary record. When the primary resource is unhealthy, Route53 responds to DNS queries
using the secondary record.How Amazon Route 53 averts cascading failuresAs a first defense
against cascading failures, each request routing algorithm (such as weighted and failover) has a
mode of last resort. In this special mode, when all records are considered unhealthy, the Route 53
algorithm reverts to considering all records healthy.For example, if all instances of an
application, on several hosts, are rejecting health check requests, Route 53 DNS servers will
choose an answer anyway and return it rather than returning no DNS answer or returning an
NXDOMAIN (non-existent domain) response. An application can respond to users but still fail
health checks, so this provides some protection against misconfiguration.Similarly, if an
application is overloaded, and one out of three endpoints fails its health checks, so that it's
excluded from Route 53 DNS responses, Route 53 distributes responses between the two
remaining endpoints. If the remaining endpoints are unable to handle th
,#2
A solutions architect is designing a high performance computing (HPC) workload on Amazon
EC2. The EC2 instances need to communicate to each other frequently and require network
performance with low latency and high throughput.Which EC2 configuration meets these
requirements?
A. Launch the EC2 instances in a cluster placement group in one Availability Zone.
B. Launch the EC2 instances in a spread placement group in one Availability Zone.
C. Launch the EC2 instances in an Auto Scaling group in two Regions and peer the VPCs.
D. Launch the EC2 instances in an Auto Scaling group spanning multiple Availability Zones. -
CORRECT ANSWER - (A) Placement groups -When you launch a new EC2 instance, the
EC2 service attempts to place the instance in such a way that all of your instances are spread out
across underlying hardware to minimize correlated failures. You can use placement groups to
influence the placement of a group of interdependent instances to meet the needs of your
workload. Depending on the type of workload.Cluster ג€" packs instances close together inside
an Availability Zone. This strategy enables workloads to achieve the low-latency network
performance necessary for tightly-coupled node-to-node communication that is typical of HPC
applications.Reference:https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/placement-
groups.html
#3
A company wants to host a scalable web application on AWS. The application will be accessed
by users from different geographic regions of the world.Application users will be able to
download and upload unique data up to gigabytes in size. The development team wants a cost-
effective solution to minimize upload and download latency and maximize performance.What
should a solutions architect do to accomplish this?
A. Use Amazon S3 with Transfer Acceleration to host the application.
B. Use Amazon S3 with CacheControl headers to host the application.
C. Use Amazon EC2 with Auto Scaling and Amazon CloudFront to host the application.
D. Use Amazon EC2 with Auto Scaling and Amazon ElastiCache to host the application. -
CORRECT ANSWER - (C)
Reference:https://aws.amazon.com/ec2/autoscaling/
#4
,A company is migrating from an on-premises infrastructure to the AWS Cloud. One of the
companyג€™s applications stores files on a Windows file server farm that uses Distributed File
System Replication (DFSR) to keep data in sync. A solutions architect needs to replace the file
server farm.Which service should the solutions architect use?
A. Amazon EFS
B. Amazon FSx
C. Amazon S3
D. AWS Storage Gateway - CORRECT ANSWER - (B)
Migrating Existing Files to Amazon FSx for Windows File Server Using AWS DataSyncWe
recommend using AWS DataSync to transfer data between Amazon FSx for Windows File Server
file systems. DataSync is a data transfer service that simplifies, automates, and accelerates
moving and replicating data between on-premises storage systems and other AWS storage
services over the internet orAWS Direct Connect. DataSync can transfer your file system data
and metadata, such as ownership, time stamps, and access
permissions.Reference:https://docs.aws.amazon.com/fsx/latest/WindowsGuide/migrate-files-to-
fsx-datasync.html
#5
A company has a legacy application that processes data in two parts. The second part of the
process takes longer than the first, so the company has decided to rewrite the application as two
microservices running on Amazon ECS that can scale independently.How should a solutions
architect integrate the microservices?
A. Implement code in microservice 1 to send data to an Amazon S3 bucket. Use S3 event
notifications to invoke microservice 2.
B. Implement code in microservice 1 to publish data to an Amazon SNS topic. Implement code
in microservice 2 to subscribe to this topic.
C. Implement code in microservice 1 to send data to Amazon Kinesis Data Firehose. Implement
code in microservice 2 to read from Kinesis Data Firehose.
D. Implement code in microservice 1 to send data to an Amazon SQS queue. Implement code in
microservice 2 to process messages from the queue. - CORRECT ANSWER - (D)
#6
A company captures clickstream data from multiple websites and analyzes it using batch
processing. The data is loaded nightly into Amazon Redshift and is consumed by business
analysts. The company wants to move towards near-real-time data processing for timely insights.
, The solution should process the streaming data with minimal effort and operational
overhead.Which combination of AWS services are MOST cost-effective for this solution?
(Choose two.)
A. Amazon EC2
B. AWS Lambda
C. Amazon Kinesis Data Streams
D. Amazon Kinesis Data Firehose
E. Amazon Kinesis Data Analytics - CORRECT ANSWER - (B,D)
Kinesis Data Streams and Kinesis Client Library (KCL) ג€" Data from the data source can be
continuously captured and streamed in near real-time using KinesisData Streams. With the
Kinesis Client Library (KCL), you can build your own application that can preprocess the
streaming data as they arrive and emit the data for generating incremental views and downstream
analysis. Kinesis Data Analytics ג€" This service provides the easiest way to process the data that
is streaming through Kinesis Data Stream or Kinesis Data Firehose using SQL. This enables
customers to gain actionable insight in near real-time from the incremental stream before storing
it in Amazon S3.
#7
A companyג€™s application runs on Amazon EC2 instances behind an Application Load
Balancer (ALB). The instances run in an Amazon EC2 Auto Scaling group across multiple
Availability Zones. On the first day of every month at midnight, the application becomes much
slower when the month-end financial calculation batch executes. This causes the CPU utilization
of the EC2 instances to immediately peak to 100%, which disrupts the application.What should a
solutions architect recommend to ensure the application is able to handle the workload and avoid
downtime?
A. Configure an Amazon CloudFront distribution in front of the ALB.
B. Configure an EC2 Auto Scaling simple scaling policy based on CPU utilization.
C. Configure an EC2 Auto Scaling scheduled scaling policy based on the monthly schedule.
D. Configure Amazon ElastiCache to remove some of the workload from the EC2 instances. -
CORRECT ANSWER - (C)
Scheduled Scaling for Amazon EC2 Auto ScalingScheduled scaling allows you to set your own
scaling schedule. For example, let's say that every week the traffic to your web application starts
to increase onWednesday, remains high on Thursday, and starts to decrease on Friday. You can
plan your scaling actions based on the predictable traffic patterns of your web application.
