SAA-C03 practice questions 571–580

1. Question 571 · 1017 in bank

   An ecommerce application uses a PostgreSQL database that runs on an Amazon EC2 instance. During a monthly sales event, database usage increases and causes database connection issues for the application. The traffic is unpredictable for subsequent monthly sales events, which impacts the sales forecast. The company needs to maintain performance when there is an unpredictable increase in traffic. Which solution resolves this issue in the MOST cost-effective way?

   • AMigrate the PostgreSQL database to Amazon Aurora Serverless v2.
   • BEnable auto scaling for the PostgreSQL database on the EC2 instance to accommodate increased usage.
   • CMigrate the PostgreSQL database to Amazon RDS for PostgreSQL with a larger instance type.
   • DMigrate the PostgreSQL database to Amazon Redshift to accommodate increased usage.

   Show answer

   Answer: A

   Explanation

   Not B - we can auto-scale the EC2 instance, but not "the [self-managed] PostgreSQL database ON the EC2 instance" Not C - This does not mention scaling, so it would incur high cost and still it might not be able to keep up with the "unpredictable" spikes Not D - Redshift is OLAP Data Warehouse

   Source: Adapted from community discussion — pentium75

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2. Question 572 · 1017 in bank

   A company hosts an internal serverless application on AWS by using Amazon API Gateway and AWS Lambda. The company’s employees report issues with high latency when they begin using the application each day. The company wants to reduce latency. Which solution will meet these requirements?

   • AIncrease the API Gateway throttling limit.
   • BSet up a scheduled scaling to increase Lambda provisioned concurrency before employees begin to use the application each day.
   • CCreate an Amazon CloudWatch alarm to initiate a Lambda function as a target for the alarm at the beginning of each day.
   • DIncrease the Lambda function memory.

   Show answer

   Answer: B

   Explanation

   Option B: Set up a scheduled scaling to increase Lambda provisioned concurrency before employees begin to use the application each day. Explanation: Provisioned concurrency ensures that a specified number of Lambda instances are initialized and ready to handle requests. By scheduling this scaling, you can pre-warm Lambda functions before peak usage times, reducing cold start latency. This solution directly addresses the latency issue caused by cold starts.

   Source: Adapted from community discussion — emakid

   References

   • AWS documentation

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3. Question 573 · 1017 in bank

   Select 3

   A research company uses on-premises devices to generate data for analysis. The company wants to use the AWS Cloud to analyze the data. The devices generate .csv files and support writing the data to an SMB file share. Company analysts must be able to use SQL commands to query the data. The analysts will run queries periodically throughout the day. Which combination of steps will meet these requirements MOST cost-effectively? (Choose three.)

   • ADeploy an AWS Storage Gateway on premises in Amazon S3 File Gateway mode.
   • BDeploy an AWS Storage Gateway on premises in Amazon FSx File Gateway made.
   • CSet up an AWS Glue crawler to create a table based on the data that is in Amazon S3.
   • DSet up an Amazon EMR cluster with EMR File System (EMRFS) to query the data that is in Amazon S3. Provide access to analysts.
   • ESet up an Amazon Redshift cluster to query the data that is in Amazon S3. Provide access to analysts.
   • FSetup Amazon Athena to query the data that is in Amazon S3. Provide access to analysts.

   Show answer

   Answer: ACF

   Explanation

   SQL Queries is Athena so DE are wrong and we are now dependant on S3 A to get files into S3 C Glue to convert CSV to S3 table data B irrelevant as we don't have anything to consume data from FSx in other options

   Source: Adapted from community discussion — awsgeek75

   References

   • AWS documentation
   • AWS documentation
   • AWS documentation
   • AWS documentation

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4. Question 574 · 1017 in bank

   Select 3

   A company wants to use Amazon Elastic Container Service (Amazon ECS) clusters and Amazon RDS DB instances to build and run a payment processing application. The company will run the application in its on-premises data center for compliance purposes. A solutions architect wants to use AWS Outposts as part of the solution. The solutions architect is working with the company's operational team to build the application. Which activities are the responsibility of the company's operational team? (Choose three.)

   • AProviding resilient power and network connectivity to the Outposts racks
   • BManaging the virtualization hypervisor, storage systems, and the AWS services that run on Outposts
   • CPhysical security and access controls of the data center environment
   • DAvailability of the Outposts infrastructure including the power supplies, servers, and networking equipment within the Outposts racks
   • EPhysical maintenance of Outposts components
   • FProviding extra capacity for Amazon ECS clusters to mitigate server failures and maintenance events

   Show answer

   Answer: ACF

   Explanation

   From https://docs.aws.amazon.com/whitepapers/latest/aws-outposts-high-availability-design/aws-outposts-high-availability-design.html With Outposts, you are responsible for providing resilient power and network connectivity to the Outpost racks to meet your availability requirements for workloads running on Outposts. You are responsible for the physical security and access controls of the data center environment. You must provide sufficient power, space, and cooling to keep the Outpost operational and network connections to connect the Outpost back to the Region. Since Outpost capacity is finite and determined by the size and number of racks AWS installs at your site, you must decide how much EC2, EBS, and S3 on Outposts capacity you need to run your initial workloads, accommodate future growth, and to provide extra capacity to mitigate server failures and maintenance events.

   Source: Adapted from community discussion — taustin2

   References

   • AWS documentation
   • AWS documentation
   • AWS documentation
   • AWS documentation

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5. Question 575 · 1017 in bank

   A company uses NFS to store large video files in on-premises network attached storage. Each video file ranges in size from 1 MB to 500 GB. The total storage is 70 TB and is no longer growing. The company decides to migrate the video files to Amazon S3. The company must migrate the video files as soon as possible while using the least possible network bandwidth. Which solution will meet these requirements?

   • ACreate an S3 bucket. Create an IAM role that has permissions to write to the S3 bucket. Use the AWS CLI to copy all files locally to the S3 bucket.
   • BCreate an AWS Snowball Edge job. Receive a Snowball Edge device on premises. Use the Snowball Edge client to transfer data to the device. Return the device so that AWS can import the data into Amazon S3.
   • CDeploy an S3 File Gateway on premises. Create a public service endpoint to connect to the S3 File Gateway. Create an S3 bucket. Create a new NFS file share on the S3 File Gateway. Point the new file share to the S3 bucket. Transfer the data from the existing NFS file share to the S3 File Gateway.
   • DSet up an AWS Direct Connect connection between the on-premises network and AWS. Deploy an S3 File Gateway on premises. Create a public virtual interface (VIF) to connect to the S3 File Gateway. Create an S3 bucket. Create a new NFS file share on the S3 File Gateway. Point the new file share to the S3 bucket. Transfer the data from the existing NFS file share to the S3 File Gateway.

   Show answer

   Answer: B

   Explanation

   Let's analyse this: B. On a Snowball Edge device you can copy files with a speed of up to 100Gbps. 70TB will take around 5600 seconds, so very quickly, less than 2 hours. The downside is that it'll take between 4-6 working days to receive the device and then another 2-3 working days to send it back and for AWS to move the data onto S3 once it reaches them. Total time: 6-9 working days. Bandwidth used: 0. C. File Gateway uses the Internet, so maximum speed will be at most 1Gbps, so it'll take a minimum of 6.5 days and you use 70TB of Internet bandwidth. D. You can achieve speeds of up to 10Gbps with Direct Connect. Total time 15.5 hours and you will use 70TB of bandwidth. However, what's interesting is that the question does not specific what type of bandwidth? Direct Connect does not use your Internet bandwidth, as you will have a dedicate peer to peer connectivity between your on-prem and the AWS Cloud, so technically, you're not using your "public" bandwidth. The requirements are a bit too vague but I think that B is the most appropriate answer, although D might also be correct if the bandwidth usage refers strictly to your public connectivity.

   Source: Adapted from community discussion — Gatt

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6. Question 576 · 1017 in bank

   A company has a website hosted on AWS. The website is behind an Application Load Balancer (ALB) that is configured to handle HTTP and HTTPS separately. The company wants to forward all requests to the website so that the requests will use HTTPS. What should a solutions architect do to meet this requirement?

   • AUpdate the ALB's network ACL to accept only HTTPS traffic.
   • BCreate a rule that replaces the HTTP in the URL with HTTPS.
   • CCreate a listener rule on the ALB to redirect HTTP traffic to HTTPS.
   • DReplace the ALB with a Network Load Balancer configured to use Server Name Indication (SNI).

   Show answer

   Answer: C

   Explanation

   C. Create a listener rule on the ALB to redirect HTTP traffic to HTTPS. To meet the requirement of forwarding all requests to the website so that the requests will use HTTPS, a solutions architect can create a listener rule on the ALB that redirects HTTP traffic to HTTPS. This can be done by creating a rule with a condition that matches all HTTP traffic and a rule action that redirects the traffic to the HTTPS listener. The HTTPS listener should already be configured to accept HTTPS traffic and forward it to the target group.

   Source: Adapted from community discussion — Buruguduystunstugudunstuy

   References

   • AWS documentation
   • AWS documentation
   • repost.aws documentation
   • aws.amazon.com documentation
   • AWS documentation

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7. Question 577 · 1017 in bank

   A company is planning to migrate a TCP-based application into the company's VPC. The application is publicly accessible on a nonstandard TCP port through a hardware appliance in the company's data center. This public endpoint can process up to 3 million requests per second with low latency. The company requires the same level of performance for the new public endpoint in AWS. What should a solutions architect recommend to meet this requirement?

   • ADeploy a Network Load Balancer (NLB). Configure the NLB to be publicly accessible over the TCP port that the application requires.
   • BDeploy an Application Load Balancer (ALB). Configure the ALB to be publicly accessible over the TCP port that the application requires.
   • CDeploy an Amazon CloudFront distribution that listens on the TCP port that the application requires. Use an Application Load Balancer as the origin.
   • DDeploy an Amazon API Gateway API that is configured with the TCP port that the application requires. Configure AWS Lambda functions with provisioned concurrency to process the requests.

   Show answer

   Answer: A

   Explanation

   Since the company requires the same level of performance for the new public endpoint in AWS. A Network Load Balancer functions at the fourth layer of the Open Systems Interconnection (OSI) model. It can handle millions of requests per second. After the load balancer receives a connection request, it selects a target from the target group for the default rule. It attempts to open a TCP connection to the selected target on the port specified in the listener configuration. Link; https://docs.aws.amazon.com/elasticloadbalancing/latest/network/introduction.html

   Source: Adapted from community discussion — Sugarbear_01

   References

   • AWS documentation

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8. Question 578 · 1017 in bank

   A company runs its critical database on an Amazon RDS for PostgreSQL DB instance. The company wants to migrate to Amazon Aurora PostgreSQL with minimal downtime and data loss. Which solution will meet these requirements with the LEAST operational overhead?

   • ACreate a DB snapshot of the RDS for PostgreSQL DB instance to populate a new Aurora PostgreSQL DB cluster.
   • BCreate an Aurora read replica of the RDS for PostgreSQL DB instance. Promote the Aurora read replicate to a new Aurora PostgreSQL DB cluster.
   • CUse data import from Amazon S3 to migrate the database to an Aurora PostgreSQL DB cluster.
   • DUse the pg_dump utility to back up the RDS for PostgreSQL database. Restore the backup to a new Aurora PostgreSQL DB cluster.

   Show answer

   Answer: B

   Explanation

   The key reasons are: Aurora read replicas allow setting up replication from RDS PostgreSQL to Aurora PostgreSQL with minimal downtime. Once replication is set up, the read replica can be promoted to a full standalone Aurora DB cluster with little to no downtime. This approach leverages AWS's managed replication between the source RDS PostgreSQL instance and Aurora. It avoids having to manually create backups and restore data. Using DB snapshots or pg_dump backups requires manually restoring data which increases downtime and operational overhead. Data import from S3 would require exporting, uploading and then importing data which adds overhead.

   Source: Adapted from community discussion — Guru4Cloud

   References

   • repost.aws documentation
   • AWS documentation

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9. Question 579 · 1017 in bank

   A company's infrastructure consists of hundreds of Amazon EC2 instances that use Amazon Elastic Block Store (Amazon EBS) storage. A solutions architect must ensure that every EC2 instance can be recovered after a disaster. What should the solutions architect do to meet this requirement with the LEAST amount of effort?

   • ATake a snapshot of the EBS storage that is attached to each EC2 instance. Create an AWS CloudFormation template to launch new EC2 instances from the EBS storage.
   • BTake a snapshot of the EBS storage that is attached to each EC2 instance. Use AWS Elastic Beanstalk to set the environment based on the EC2 template and attach the EBS storage.
   • CUse AWS Backup to set up a backup plan for the entire group of EC2 instances. Use the AWS Backup API or the AWS CLI to speed up the restore process for multiple EC2 instances.
   • DCreate an AWS Lambda function to take a snapshot of the EBS storage that is attached to each EC2 instance and copy the Amazon Machine Images (AMIs). Create another Lambda function to perform the restores with the copied AMIs and attach the EBS storage.

   Show answer

   Answer: C

   Explanation

   The key reasons are: AWS Backup automates backup of resources like EBS volumes. It allows defining backup policies for groups of resources. This removes the need to manually create backups for each resource. The AWS Backup API and CLI allow programmatic control of backup plans and restores. This enables restoring hundreds of EC2 instances programmatically after a disaster instead of manually. AWS Backup handles cleanup of old backups based on policies to minimize storage costs.

   Source: Adapted from community discussion — Guru4Cloud

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10. Question 580 · 1017 in bank

    A company recently migrated to the AWS Cloud. The company wants a serverless solution for large-scale parallel on-demand processing of a semistructured dataset. The data consists of logs, media files, sales transactions, and IoT sensor data that is stored in Amazon S3. The company wants the solution to process thousands of items in the dataset in parallel. Which solution will meet these requirements with the MOST operational efficiency?

    • AUse the AWS Step Functions Map state in Inline mode to process the data in parallel.
    • BUse the AWS Step Functions Map state in Distributed mode to process the data in parallel.
    • CUse AWS Glue to process the data in parallel.
    • DUse several AWS Lambda functions to process the data in parallel.

    Show answer

    Answer: B

    Explanation

    AWS Step Functions allows you to orchestrate and scale distributed processing using the Map state. The Map state can process items in a large dataset in parallel by distributing the work across multiple resources. Using the Map state in Distributed mode will automatically handle the parallel processing and scaling. Step Functions will add more workers to process the data as needed. Step Functions is serverless so there are no servers to manage. It will scale up and down automatically based on demand.

    Source: Adapted from community discussion — Guru4Cloud

    References

    • AWS documentation
    • AWS documentation
    • AWS documentation
    • AWS documentation
    • AWS documentation

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SAA-C03 practice, question 571. 1017 questions available.