Amazon SAA-C03 Online Practice Questions and Exam Preparation

Amazon SAA-C03 Online Questions & Answers

• Question 11:

  A company runs its application on Oracle Database Enterprise Edition. The company needs to migrate the application and the database to AWS. The company can use the Bring Your Own License (BYOL) model while migrating to AWS. The application uses third-party database features that require privileged access.

  A solutions architect must design a solution for the database migration.

  Which solution will meet these requirements MOST cost-effectively?

  A. Migrate the database to Amazon RDS for Oracle by using native tools. Replace the third-party features with AWS Lambda.
  B. Migrate the database to Amazon RDS Custom for Oracle by using native tools. Customize the new database settings to support the third-party features.
  C. Migrate the database to Amazon DynamoDB by using AWS Database Migration Service (AWS DMS). Customize the new database settings to support the third-party features.
  D. Migrate the database to Amazon RDS for PostgreSQL by using AWS Database Migration Service (AWS DMS). Rewrite the application code to remove the dependency on third-party features.
  B. Migrate the database to Amazon RDS Custom for Oracle by using native tools. Customize the new database settings to support the third-party features.

• Question 12:

  A company is running a media store across multiple Amazon EC2 instances distributed across multiple Availability Zones in a single VPC. The company wants a high-performing solution to share data between all the EC2 instances, and prefers to keep the data within the VPC only.

  What should a solutions architect recommend?

  A. Create an Amazon S3 bucket and call the service APIs from each instance's application
  B. Create an Amazon S3 bucket and configure all instances to access it as a mounted volume
  C. Configure an Amazon Elastic Block Store (Amazon EBS) volume and mount it across all instances
  D. Configure an Amazon Elastic File System (Amazon EFS) file system and mount it across all instances
  D. Configure an Amazon Elastic File System (Amazon EFS) file system and mount it across all instances

• Question 13:

  A company is using an Amazon Elastic Kubernetes Service (Amazon EKS) cluster. The company must ensure that Kubernetes service accounts in the EKS cluster have secure and granular access to specific AWS resources by using IAM roles for service accounts (IRSA).

  Which combination of solutions will meet these requirements? (Choose two.)

  A. Create an IAM policy that defines the required permissions Attach the policy directly to the IAM role of the EKS nodes.
  B. Implement network policies within the EKS cluster to prevent Kubernetes service accounts from accessing specific AWS services.
  C. Modify the EKS cluster's IAM role to include permissions for each Kubernetes service account. Ensure a one-to-one mapping between IAM roles and Kubernetes roles.
  D. Define an IAM role that includes the necessary permissions. Annotate the Kubernetes service accounts with the Amazon ResourceName (ARN) of the IAM role.
  E. Set up a trust relationship between the IAM roles for the service accounts and an OpenID Connect (OIDC) identity provider.
  D. Define an IAM role that includes the necessary permissions. Annotate the Kubernetes service accounts with the Amazon ResourceName (ARN) of the IAM role.
  E. Set up a trust relationship between the IAM roles for the service accounts and an OpenID Connect (OIDC) identity provider.

• Question 14:

  A company is developing a highly available natural language processing (NLP) application. The application handles large volumes of concurrent requests. The application performs NLP tasks such as entity recognition, sentiment analysis, and key phrase extraction on text data.

  The company needs to store data that the application processes in a highly available and scalable database.

  Which solution will meet these requirements?

  A. Create an Amazon API Gateway REST API endpoint to handle incoming requests. Configure the REST API to invoke an AWS Lambda function for each request. Configure the Lambda function to call Amazon Comprehend to perform NLP tasks on the text data. Store the processed data in Amazon DynamoDB.
  B. Create an Amazon API Gateway HTTP API endpoint to handle incoming requests. Configure the HTTP API to invoke an AWS Lambda function for each request. Configure the Lambda function to call Amazon Translate to perform NLP tasks on the text data. Store the processed data in Amazon ElastiCache.
  C. Create an Amazon SQS queue to buffer incoming requests. Deploy the NLP application on Amazon EC2 instances in an Auto Scaling group. Use Amazon Comprehend to perform NLP tasks. Store the processed data in an Amazon RDS database.
  D. Create an Amazon API Gateway WebSocket API endpoint to handle incoming requests. Configure the WebSocket API to invoke an AWS Lambda function for each request. Configure the Lambda function to call Amazon Textract to perform NLP tasks on the text data. Store the processed data in Amazon ElastiCache.
  A. Create an Amazon API Gateway REST API endpoint to handle incoming requests. Configure the REST API to invoke an AWS Lambda function for each request. Configure the Lambda function to call Amazon Comprehend to perform NLP tasks on the text data. Store the processed data in Amazon DynamoDB.

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  Explanation

  Option A: API Gateway + DynamoDB:Provides high scalability, low latency, and seamless integration with Amazon Comprehend for NLP tasks.

  Option B: HTTP API + Translate + ElastiCache:Translate is not relevant for NLP tasks like sentiment analysis or entity recognition. ElastiCache is unsuitable for permanent storage.

  Option C: SQS + EC2 + RDS:Increases complexity and operational overhead. RDS may not scale effectively for high concurrent loads.

  Option D: WebSocket API + Textract:Textract is irrelevant for NLP tasks. WebSocket API is not the optimal choice for this use case.

  References:

  Amazon Comprehend,Amazon DynamoDB

• Question 15:

  A company uses Amazon EC2 instances and AWS Lambda functions to run its application. The company has VPCs with public subnets and private subnets in its AWS account. The EC2 instances run in a private subnet in one of the VPCs.

  The Lambda functions need direct network access to the EC2 instances for the application to work.

  The application will run for at least 1 year. The company expects the number of Lambda functions that the application uses to increase during that time. The company wants to maximize its savings on all application resources and to keep network latency between the services low.

  Which solution will meet these requirements?

  A. Purchase an EC2 Instance Savings Plan Optimize the Lambda functions' duration and memory usage and the number of invocations. Connect the Lambda functions to the private subnet that contains the EC2 instances.
  B. Purchase an EC2 Instance Savings Plan Optimize the Lambda functions' duration and memory usage, the number of invocations, and the amount of data that is transferred. Connect the Lambda functions to a public subnet in the same VPC where the EC2 instances run.
  C. Purchase a Compute Savings Plan. Optimize the Lambda functions' duration and memory usage, the number of invocations, and the amount of data that is transferred. Connect the Lambda functions to the private subnet that contains the EC2 instances.
  D. Purchase a Compute Savings Plan. Optimize the Lambda functions' duration and memory usage, the number of invocations, and the amount of data that is transferred. Keep the Lambda functions in the Lambda service VPC.
  C. Purchase a Compute Savings Plan. Optimize the Lambda functions' duration and memory usage, the number of invocations, and the amount of data that is transferred. Connect the Lambda functions to the private subnet that contains the EC2 instances.

• Question 16:

  A company is planning to deploy a data processing platform on AWS. The data processingplatform is based on PostgreSQL. The company stores the data that the platform must process on premises.

  To comply with regulations, the company must not migrate the data to the cloud. However, the company wants to use AWS managed data analytics solutions.

  Which solution will meet these requirements?

  A. Create an Amazon RDS for PostgreSQL database in a VPC. Create an interface VPC endpoint to connect the on-premises PostgreSQL database to the RDS for PostgreSQL database.
  B. Create Amazon EC2 instances in an Auto Scaling group on AWS Outposts. Install PostgreSQL data analytics software on the instances.
  C. Create an Amazon EMR cluster on AWS Outposts. Connect the EMR cluster to the on-premises PostgreSQL database to perform data processing locally.
  D. Create an Amazon EMR cluster in a VPC. Connect the EMR cluster to Amazon RDS for SQL Server with a linked server to connect to the company's data processing platform.
  C. Create an Amazon EMR cluster on AWS Outposts. Connect the EMR cluster to the on-premises PostgreSQL database to perform data processing locally.

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  Explanation

  AWS Outposts extends AWS infrastructure and services to on-premises locations. Running Amazon EMR on Outposts allows for processing data that resides locally while benefiting from the managed services of EMR. This enables compliance with data residency requirements and provides scalability and manageability for analytics.

  References:

  AWS Documentation?Amazon EMR on Outposts

• Question 17:

  A company uses Amazon RDS for PostgreSQL to run its applications in the us-east-1 Region. The company also uses machine learning (ML) models to forecast annual revenue based on near real-time reports. The reports are generated by using the same RDS for PostgreSQL database. The database performance slows during business hours. The company needs to improve database performance.

  Which solution will meet these requirements MOST cost-effectively?

  A. Create a cross-Region read replica. Configure the reports to be generated from the read replica.
  B. Activate Multi-AZ DB instance deployment for RDS for PostgreSQL. Configure the reports to be generated from the standby database.
  C. Use AWS Data Migration Service (AWS DMS) to logically replicate data to a new database. Configure the reports to be generated from the new database.
  D. Create a read replica in us-east-1. Configure the reports to be generated from the read replica.
  D. Create a read replica in us-east-1. Configure the reports to be generated from the read replica.

• Question 18:

  A company currently runs an on-premises stock trading application by using Microsoft Windows Server.

  The company wants to migrate the application to the AWS Cloud.

  The company needs to design a highly available solution that provides low-latency access to block storage across multiple Availability Zones.

  Which solution will meet these requirements with the LEAST implementation effort?

  A. Configure a Windows Server cluster that spans two Availability Zones on Amazon EC2 instances. Install the application on both cluster nodes. Use Amazon FSx for Windows File Server as shared storage between the two cluster nodes.
  B. Configure a Windows Server cluster that spans two Availability Zones on Amazon EC2 instances. Install the application on both cluster nodes. Use Amazon Elastic Block Store (Amazon EBS) General Purpose SSD (gp3) volumes as storage attached to the EC2 instances. Set up application-level replication to sync data from one EBS volume in one Availability Zone to another EBS volume in the second Availability Zone.
  C. Deploy the application on Amazon EC2 instances in two Availability Zones. Configure one EC2 instance as active and the second EC2 instance in standby mode. Use an Amazon FSx for NetApp ONTAP Multi-AZ file system to access the data by using Internet Small Computer Systems Interface (iSCSI) protocol.
  D. Deploy the application on Amazon EC2 instances in two Availability Zones. Configure one EC2 instance as active and the second EC2 instance in standby mode. Use Amazon Elastic Block Store (Amazon EBS) Provisioned IOPS SSD (io2) volumes as storage attached to the EC2 instances. Set up Amazon EBS level replication to sync data from one io2 volume in one Availability Zone to another io2 volume in the second Availability Zone.
  C. Deploy the application on Amazon EC2 instances in two Availability Zones. Configure one EC2 instance as active and the second EC2 instance in standby mode. Use an Amazon FSx for NetApp ONTAP Multi-AZ file system to access the data by using Internet Small Computer Systems Interface (iSCSI) protocol.

• Question 19:

  A company runs container applications by using Amazon Elastic Kubernetes Service (Amazon EKS). The company's workload is not consistent throughout the day. The company wants Amazon EKS to scale in and out according to the workload.

  Which combination of steps will meet these requirements with the LEAST operational overhead? (Choose two.)

  A. Use an AWS Lambda function to resize the EKS cluster.
  B. Use the Kubernetes Metrics Server to activate horizontal pod autoscaling.
  C. Use the Kubernetes Cluster Autoscaler to manage the number of nodes in the cluster.
  D. Use Amazon API Gateway and connect it to Amazon EKS.
  E. Use AWS App Mesh to observe network activity.
  B. Use the Kubernetes Metrics Server to activate horizontal pod autoscaling.
  C. Use the Kubernetes Cluster Autoscaler to manage the number of nodes in the cluster.

• Question 20:

  An IoT company is releasing a mattress that has sensors to collect data about a user's sleep. The sensors will send data to an Amazon S3 bucket. The sensors collect approximately 2 MB of data every night for each mattress. The company must process and summarize the data for each mattress. The results need to be available as soon as possible. Data processing will require 1 GB of memory and will finish within 30 seconds.

  Which solution will meet these requirements MOST cost-effectively?

  A. Use AWS Glue with a Scala job
  B. Use Amazon EMR with an Apache Spark script
  C. Use AWS Lambda with a Python script
  D. Use AWS Glue with a PySpark job
  C. Use AWS Lambda with a Python script