Amazon SAP-C01 Online Practice Questions and Exam Preparation

Amazon SAP-C01 Online Questions & Answers

• Question 801:

  A financial services company loaded millions of historical stock trades into an Amazon DynamoDB table The table uses on-demand capacity mode Once each day at midnight, a few million new records are loaded into the table Application read activity against the table happens in bursts throughout the day, and a limited set of keys are repeatedly looked up. The company needs to reduce costs associated with DynamoDB.

  Which strategy should a solutions architect recommend to meet this requirement?

  A. Deploy an Amazon ElastiCache cluster in front of the DynamoDB table.
  B. Deploy DynamoDB Accelerator (DAX) Configure DynamoDB auto scaling Purchase Savings Plans in Cost Explorer
  C. Use provisioned capacity mode Purchase Savings Plans in Cost Explorer
  D. Deploy DynamoDB Accelerator (DAX) Use provisioned capacity mode Configure DynamoDB auto scaling
  D. Deploy DynamoDB Accelerator (DAX) Use provisioned capacity mode Configure DynamoDB auto scaling

• Question 802:

  A bank is re-architecting its mainframe-based credit card approval processing application to a cloud-native application on the AWS cloud. The new application will receive up to 1,000 requests per second at peak load. There are multiple steps to each transaction, and each step must receive the result of the previous step. The entire request must return an authorization response within less than 2 seconds with zero data loss. Every request must receive a response. The solution must be Payment Card Industry Data Security Standard (PCI DSS)-compliant. Which option will meet all of the bank's objectives with the LEAST complexity and LOWEST cost while also meeting compliance requirements?

  A. Create an Amazon API Gateway to process inbound requests using a single AWS Lambda task that performs multiple steps and returns a JSON object with the approval status. Open a support case to increase the limit for the number of concurrent Lambdas to allow room for bursts of activity due to the new application.
  B. Create an Application Load Balancer with an Amazon ECS cluster on Amazon EC2 Dedicated Instances in a target group to process incoming requests. Use Auto Scaling to scale the cluster out/in based on average CPU utilization. Deploy a web service that processes all of the approval steps and returns a JSON object with the approval status.
  C. Deploy the application on Amazon EC2 on Dedicated Instances. Use an Elastic Load Balancer in front of a farm of application servers in an Auto Scaling group to handle incoming requests. Scale out/in based on a custom Amazon CloudWatch metric for the number of inbound requests per second after measuring the capacity of a single instance.
  D. Create an Amazon API Gateway to process inbound requests using a series of AWS Lambda processes, each with an Amazon SQS input queue. As each step completes, it writes its result to the next step's queue. The final step returns a JSON object with the approval status. Open a support case to increase the limit for the number of concurrent Lambdas to allow room for bursts of activity due to the new application.
  C. Deploy the application on Amazon EC2 on Dedicated Instances. Use an Elastic Load Balancer in front of a farm of application servers in an Auto Scaling group to handle incoming requests. Scale out/in based on a custom Amazon CloudWatch metric for the number of inbound requests per second after measuring the capacity of a single instance.

• Question 803:

  You have deployed a web application targeting a global audience across multiple AWS Regions under the domain name.example.com. You decide to use Route53 Latency-Based Routing to serve web requests to users from the region closest to the user. To provide business continuity in the event of server downtime you configure weighted record sets associated with two web servers in separate Availability Zones per region. Dunning a DR test you notice that when you disable all web servers in one of the regions Route53 does not automatically direct all users to the other region.

  What could be happening? (Choose two.)

  A. Latency resource record sets cannot be used in combination with weighted resource record sets.
  B. You did not setup an HTTP health check to one or more of the weighted resource record sets associated with me disabled web servers.
  C. The value of the weight associated with the latency alias resource record set in the region with the disabled servers is higher than the weight for the other region.
  D. One of the two working web servers in the other region did not pass its HTTP health check.
  E. You did not set "Evaluate Target Health" to "Yes" on the latency alias resource record set associated with example com in the region where you disabled the servers.
  B. You did not setup an HTTP health check to one or more of the weighted resource record sets associated with me disabled web servers.
  E. You did not set "Evaluate Target Health" to "Yes" on the latency alias resource record set associated with example com in the region where you disabled the servers.

• Question 804:

  If no explicit deny is found while applying IAM's Policy Evaluation Logic, the enforcement code looks for any ______ instructions that would apply to the request.

  A. "cancel"
  B. "suspend"
  C. "allow"
  D. "valid"
  C. "allow"

• Question 805:

  Identify an application that polls AWS Data Pipeline for tasks and then performs those tasks.

  A. A task executor
  B. A task deployer
  C. A task runner
  D. A task optimizer
  C. A task runner

• Question 806:

  A Development team is deploying new APIs as serverless applications within a company. The team is currently using the AWS Management Console to provision Amazon API Gateway, AWS Lambda, and Amazon DynamoDB resources. A Solutions Architect has been tasked with automating the future deployments of these serverless APIs.

  How can this be accomplished?

  A. Use AWS CloudFormation with a Lambda-backed custom resource to provision API Gateway. Use the AWS::DynamoDB::Table and AWS::Lambda::Function resources to create the Amazon DynamoDB table and Lambda functions. Write a script to automate the deployment of the CloudFormation template.
  B. Use the AWS Serverless Application Model to define the resources. Upload a YAML template and application files to the code repository. Use AWS CodePipeline to connect to the code repository and to create an action to build using AWS CodeBuild. Use the AWS CloudFormation deployment provider in CodePipeline to deploy the solution.
  C. Use AWS CloudFormation to define the serverless application. Implement versioning on the Lambda functions and create aliases to point to the versions. When deploying, configure weights to implement shifting traffic to the newest version, and gradually update the weights as traffic moves over.
  D. Commit the application code to the AWS CodeCommit code repository. Use AWS CodePipeline and connect to the CodeCommit code repository. Use AWS CodeBuild to build and deploy the Lambda functions using AWS CodeDeploy. Specify the deployment preference type in CodeDeploy to gradually shift traffic over to the new version.
  B. Use the AWS Serverless Application Model to define the resources. Upload a YAML template and application files to the code repository. Use AWS CodePipeline to connect to the code repository and to create an action to build using AWS CodeBuild. Use the AWS CloudFormation deployment provider in CodePipeline to deploy the solution.

• Question 807:

  An organization is purchasing licensed software. The software license can be registered only to a specific MAC Address. The organization is going to host the software in the AWS environment. How can the organization fulfil the license requirement as the MAC address changes every time an instance is started/stopped/terminated?

  A. It is not possible to have a fixed MAC address with AWS.
  B. The organization should use VPC with the private subnet and configure the MAC address with that subnet.
  C. The organization should use VPC with an elastic network interface which will have a fixed MAC Address.
  D. The organization should use VPC since VPC allows to configure the MAC address for each EC2 instance.
  C. The organization should use VPC with an elastic network interface which will have a fixed MAC Address.

• Question 808:

  An internal security audit of AWS resources within a company found that a number of Amazon EC2 instances running Microsoft Windows workloads were missing several important operating system-level patches. A Solutions Architect has been asked to fix existing patch deficiencies, and to develop a workflow to ensure that future patching requirements are identified and taken care of quickly. The Solutions Architect has decided to use AWS Systems Manager. It is important that EC2 instance reboots do not occur at the same time on all Windows workloads to meet organizational uptime requirements.

  Which workflow will meet these requirements in an automated manner?

  A. Add a Patch Group tag with a value of Windows Servers to all existing EC2 instances. Ensure that all Windows EC2 instances are assigned this tag. Associate the AWS-DefaultPatchBaseline to the Windows Servers patch group. Define an AWS Systems Manager maintenance window, conduct patching within it, and associate it with the Windows Servers patch group. Register instances with the maintenance window using associated subnet IDs. Assign the AWS-RunPatchBaseline document as a task within each maintenance window.
  B. Add a Patch Group tag with a value of Windows Servers to all existing EC2 instances. Ensure that all Windows EC2 instances are assigned this tag. Associate the AWS-WindowsPatchBaseline to the Windows Servers patch group. Create an Amazon CloudWatch Events rule configured to use a cron expression to schedule the execution of patching using the AWS Systems Manager run command. Assign the AWS-RunWindowsPatchBaseline document as a task associated with the Windows Servers patch group. Create an AWS Systems Manager State Manager document to define commands to be executed during patch execution.
  C. Add a Patch Group tag with a value of either Windows Servers1 or Windows Servers2 to all existing EC2 instances. Ensure that all Windows EC2 instances are assigned this tag. Associate the AWS-DefaultPatchBaseline with both Windows Servers patch groups. Define two non-overlapping AWS Systems Manager maintenance windows, conduct patching within them, and associate each with a different patch group. Register targets with specific maintenance windows using the Patch Group tags. Assign the AWS-RunPatchBaseline document as a task within each maintenance window.
  D. Add a Patch Group tag with a value of either Windows Servers1 or Windows Server2 to all existing EC2 instances. Ensure that all Windows EC2 instances are assigned this tag. Associate the AWS-WindowsPatchBaseline with both Windows Servers patch groups. Define two non-overlapping AWS Systems Manager maintenance windows, conduct patching within them, and associate each with a different patch group. Assign the AWS-RunWindowsPatchBaseline document as a task within each maintenance window. Create an AWS Systems Manager State Manager document to define commands to be executed during patch execution.
  B. Add a Patch Group tag with a value of Windows Servers to all existing EC2 instances. Ensure that all Windows EC2 instances are assigned this tag. Associate the AWS-WindowsPatchBaseline to the Windows Servers patch group. Create an Amazon CloudWatch Events rule configured to use a cron expression to schedule the execution of patching using the AWS Systems Manager run command. Assign the AWS-RunWindowsPatchBaseline document as a task associated with the Windows Servers patch group. Create an AWS Systems Manager State Manager document to define commands to be executed during patch execution.

• Question 809:

  A company hosts a photography website on AWS that has global visitors. The website has experienced steady increases in traffic during the last 12 months, and users have reported a delay in displaying images. The company wants to configure Amazon CloudFront lo deliver photos to visitors with minimal latency.

  Which actions will achieve this goal? (Select TWO.)

  A. Set the Minimum TTL and Maximum TTL to 0 in the CloudFront distribution.
  B. Set the Minimum TTL and Maximum TTL to a high value in the CloudFront distribution.
  C. Set the CloudFront distribution to forward all headers, all cookies, and all query strings to the origin.
  D. Set up additional origin servers that are geographically closer to the requesters. Configure latency- based routing in Amazon Route 53.
  E. Select Price Class 100 on Ihe CloudFront distribution.
  B. Set the Minimum TTL and Maximum TTL to a high value in the CloudFront distribution.
  D. Set up additional origin servers that are geographically closer to the requesters. Configure latency- based routing in Amazon Route 53.

• Question 810:

  You have recently joined a startup company building sensors to measure street noise and air quality in urban areas. The company has been running a pilot deployment of around 100 sensors for 3 months each sensor uploads 1KB of sensor

  data every minute to a backend hosted on AWS.

  During the pilot, you measured a peak or 10 IOPS on the database, and you stored an average of 3GB of sensor data per month in the database. The current deployment consists of a load-balanced auto scaled Ingestion layer using EC2

  instances and a PostgreSQL RDS database with 500GB standard storage. The pilot is considered a success and your CEO has managed to get the attention or some potential investors. The business plan requires a deployment of at least

  100K sensors which needs to be supported by the backend. You also need to store sensor data for at least two years to be able to compare year over year Improvements.

  To secure funding, you have to make sure that the platform meets these requirements and leaves room for further scaling.

  Which setup win meet the requirements?

  A. Add an SQS queue to the ingestion layer to buffer writes to the RDS instance
  B. Ingest data into a DynamoDB table and move old data to a Redshift cluster
  C. Replace the RDS instance with a 6 node Redshift cluster with 96TB of storage
  D. Keep the current architecture but upgrade RDS storage to 3TB and 10K provisioned IOPS
  C. Replace the RDS instance with a 6 node Redshift cluster with 96TB of storage