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Amazon SAA-C03 Practice Test - Questions Answers, Page 17

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Question 161

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A new employee has joined a company as a deployment engineer. The deployment engineer will be using AWS CloudFormation templates to create multiple AWS resources. A solutions architect wants the deployment engineer to perform job activities while following the principle of least privilege.

Which steps should the solutions architect do in conjunction to reach this goal? (Select two.)

Have the deployment engineer use AWS account roof user credentials for performing AWS CloudFormation stack operations.
Have the deployment engineer use AWS account roof user credentials for performing AWS CloudFormation stack operations.
Create a new IAM user for the deployment engineer and add the IAM user to a group that has the PowerUsers IAM policy attached.
Create a new IAM user for the deployment engineer and add the IAM user to a group that has the PowerUsers IAM policy attached.
Create a new IAM user for the deployment engineer and add the IAM user to a group that has the Administrate/Access IAM policy attached.
Create a new IAM user for the deployment engineer and add the IAM user to a group that has the Administrate/Access IAM policy attached.
Create a new IAM User for the deployment engineer and add the IAM user to a group that has an IAM policy that allows AWS CloudFormation actions only.
Create a new IAM User for the deployment engineer and add the IAM user to a group that has an IAM policy that allows AWS CloudFormation actions only.
Create an IAM role for the deployment engineer to explicitly define the permissions specific to the AWS CloudFormation stack and launch stacks using Dial IAM role.
Create an IAM role for the deployment engineer to explicitly define the permissions specific to the AWS CloudFormation stack and launch stacks using Dial IAM role.
Suggested answer: D, E

Explanation:

https://docs.aws.amazon.com/IAM/latest/UserGuide/id_roles.html

https://docs.aws.amazon.com/IAM/latest/UserGuide/id_users.html

asked 16/09/2024
Shady Mohamed Ibrahim
31 questions

Question 162

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A company runs a high performance computing (HPC) workload on AWS. The workload required lowlatency network performance and high network throughput with tightly coupled node-to-node communication. The Amazon EC2 instances are properly sized for compute and storage capacity, and are launched using default options.

What should a solutions architect propose to improve the performance of the workload?

Choose a cluster placement group while launching Amazon EC2 instances.
Choose a cluster placement group while launching Amazon EC2 instances.
Choose dedicated instance tenancy while launching Amazon EC2 instances.
Choose dedicated instance tenancy while launching Amazon EC2 instances.
Choose an Elastic Inference accelerator while launching Amazon EC2 instances.
Choose an Elastic Inference accelerator while launching Amazon EC2 instances.
Choose the required capacity reservation while launching Amazon EC2 instances.
Choose the required capacity reservation while launching Amazon EC2 instances.
Suggested answer: A

Explanation:

https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-ec2- placementgroup.html : "A cluster placement group is a logical grouping of instances within a single Availability Zone that benefit from low network latency, high network throughput"

asked 16/09/2024
Sorin Craia
39 questions

Question 163

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A company wants to use the AWS Cloud to make an existing application highly available and resilient. The current version of the application resides in the company's data center. The application recently experienced data loss after a database server crashed because of an unexpected power outage. The company needs a solution that avoids any single points of failure. The solution must give the application the ability to scale to meet user demand. Which solution will meet these requirements?

Deploy the application servers by using Amazon EC2 instances in an Auto Scaling group across multiple Availability Zones. Use an Amazon RDS DB instance in a Multi-AZ configuration.
Deploy the application servers by using Amazon EC2 instances in an Auto Scaling group across multiple Availability Zones. Use an Amazon RDS DB instance in a Multi-AZ configuration.
Deploy the application servers by using Amazon EC2 instances in an Auto Scaling group in a single Availability Zone. Deploy the database on an EC2 instance. Enable EC2 Auto Recovery.
Deploy the application servers by using Amazon EC2 instances in an Auto Scaling group in a single Availability Zone. Deploy the database on an EC2 instance. Enable EC2 Auto Recovery.
Deploy the application servers by using Amazon EC2 instances in an Auto Scaling group across multiple Availability Zones. Use an Amazon RDS DB instance with a read replica in a single Availability Zone. Promote the read replica to replace the primary DB instance if the primary DB instance fails.
Deploy the application servers by using Amazon EC2 instances in an Auto Scaling group across multiple Availability Zones. Use an Amazon RDS DB instance with a read replica in a single Availability Zone. Promote the read replica to replace the primary DB instance if the primary DB instance fails.
Deploy the application servers by using Amazon EC2 instances in an Auto Scaling group across multiple Availability Zones Deploy the primary and secondary database servers on EC2 instances across multiple Availability Zones Use Amazon Elastic Block Store (Amazon EBS) Multi-Attach to create shared storage between the instances.
Deploy the application servers by using Amazon EC2 instances in an Auto Scaling group across multiple Availability Zones Deploy the primary and secondary database servers on EC2 instances across multiple Availability Zones Use Amazon Elastic Block Store (Amazon EBS) Multi-Attach to create shared storage between the instances.
Suggested answer: A
asked 16/09/2024
Umaish Nair
35 questions

Question 164

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A company wants to run a gaming application on Amazon EC2 instances that are part of an Auto Scaling group in the AWS Cloud. The application will transmit data by using UDP packets. The company wants to ensure that the application can scale out and in as traffic increases and decreases.

What should a solutions architect do to meet these requirements?

Attach a Network Load Balancer to the Auto Scaling group
Attach a Network Load Balancer to the Auto Scaling group
Attach an Application Load Balancer to the Auto Scaling group.
Attach an Application Load Balancer to the Auto Scaling group.
Deploy an Amazon Route 53 record set with a weighted policy to route traffic appropriately
Deploy an Amazon Route 53 record set with a weighted policy to route traffic appropriately
Deploy a NAT instance that is configured with port forwarding to the EC2 instances in the Auto Scaling group.
Deploy a NAT instance that is configured with port forwarding to the EC2 instances in the Auto Scaling group.
Suggested answer: A

Explanation:

This solution meets the requirements of running a gaming application that transmits data by using UDP packets and scaling out and in as traffic increases and decreases. A Network Load Balancer can handle millions of requests per second while maintaining high throughput at ultra low latency, and it supports both TCP and UDP protocols. An Auto Scaling group can automatically adjust the number of EC2 instances based on the demand and the scaling policies. Option B is incorrect because an Application Load Balancer does not support UDP protocol, only HTTP and HTTPS. Option C is incorrect because Amazon Route 53 is a DNS service that can route traffic based on different policies, but it does not provide load balancing or scaling capabilities. Option D is incorrect because a NAT instance is used to enable instances in a private subnet to connect to the internet or other AWS services, but it does not provide load balancing or scaling capabilities. https://aws.amazon.com/blogs/aws/new-udp-load-balancing-for-network-load-balancer/ https://docs.aws.amazon.com/autoscaling/ec2/userguide/AutoScalingGroup.html



asked 16/09/2024
S Tharakanparampil
36 questions

Question 165

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A solutions architect is designing a customer-facing application for a company. The application's database will have a clearly defined access pattern throughout the year and will have a variable number of reads and writes that depend on the time of year. The company must retain audit records for the database for 7 days. The recovery point objective (RPO) must be less than 5 hours. Which solution meets these requirements?

Use Amazon DynamoDB with auto scaling Use on-demand backups and Amazon DynamoDB Streams
Use Amazon DynamoDB with auto scaling Use on-demand backups and Amazon DynamoDB Streams
Use Amazon Redshift. Configure concurrency scaling. Activate audit logging. Perform database snapshots every 4 hours.
Use Amazon Redshift. Configure concurrency scaling. Activate audit logging. Perform database snapshots every 4 hours.
Use Amazon RDS with Provisioned IOPS Activate the database auditing parameter Perform database snapshots every 5 hours
Use Amazon RDS with Provisioned IOPS Activate the database auditing parameter Perform database snapshots every 5 hours
Use Amazon Aurora MySQL with auto scaling. Activate the database auditing parameter
Use Amazon Aurora MySQL with auto scaling. Activate the database auditing parameter
Suggested answer: A

Explanation:


asked 16/09/2024
Robert Endicott
45 questions

Question 166

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A company hosts a two-tier application on Amazon EC2 instances and Amazon RDS. The application's demand varies based on the time of day. The load is minimal after work hours and on weekends. The EC2 instances run in an EC2 Auto Scaling group that is configured with a minimum of two instances and a maximum of five instances. The application must be available at all times, but the company is concerned about overall cost. Which solution meets the availability requirement MOST cost-effectively?

Use all EC2 Spot Instances. Stop the RDS database when it is not in use.
Use all EC2 Spot Instances. Stop the RDS database when it is not in use.
Purchase EC2 Instance Savings Plans to cover five EC2 instances. Purchase an RDS Reserved DB Instance
Purchase EC2 Instance Savings Plans to cover five EC2 instances. Purchase an RDS Reserved DB Instance
Purchase two EC2 Reserved Instances Use up to three additional EC2 Spot Instances as needed.Stop the RDS database when it is not in use.
Purchase two EC2 Reserved Instances Use up to three additional EC2 Spot Instances as needed.Stop the RDS database when it is not in use.
Purchase EC2 Instance Savings Plans to cover two EC2 instances. Use up to three additional EC2 On-Demand Instances as needed. Purchase an RDS Reserved DB Instance.
Purchase EC2 Instance Savings Plans to cover two EC2 instances. Use up to three additional EC2 On-Demand Instances as needed. Purchase an RDS Reserved DB Instance.
Suggested answer: C

Explanation:

This solution meets the requirements of a two-tier application that has a variable demand based on the time of day and must be available at all times, while minimizing the overall cost. EC2 Reserved Instances can provide significant savings compared to On-Demand Instances for the baseline level of usage, and they can guarantee capacity reservation when needed. EC2 Spot Instances can provide up to 90% savings compared to On-Demand Instances for any additional capacity that the application needs during peak hours. Spot Instances are suitable for stateless applications that can tolerate interruptions and can be replaced by other instances. Stopping the RDS database when it is not in use can reduce the cost of running the database tier.Option A is incorrect because using all EC2 Spot Instances can affect the availability of the application if there are not enough spare capacity or if the Spot price exceeds the maximum price. Stopping the RDS database when it is not in use can reduce the cost of running the database tier, but it can also affect the availability of the application. Option B is incorrect because purchasing EC2 Instance Savings Plans to cover five EC2 instances can lock in a fixed amount of compute usage per hour, which may not match the actual usage pattern of the application. Purchasing an RDS Reserved DB Instance can provide savings for the database tier, but it does not allow stopping the database when it is not in use. Option D is incorrect because purchasing EC2 Instance Savings Plans to cover two EC2 instances can lock in a fixed amount of compute usage per hour, which may not match the actual usage pattern of the application. Using up to three additional EC2 On-Demand Instances as needed can incur higher costs than using Spot Instances.


asked 16/09/2024
Maxime SELLY
43 questions

Question 167

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A company has an ecommerce checkout workflow that writes an order to a database and calls a service to process the payment. Users are experiencing timeouts during the checkout process. When users resubmit the checkout form, multiple unique orders are created for the same desired transaction.

How should a solutions architect refactor this workflow to prevent the creation of multiple orders?

Configure the web application to send an order message to Amazon Kinesis Data Firehose. Set the payment service to retrieve the message from Kinesis Data Firehose and process the order.
Configure the web application to send an order message to Amazon Kinesis Data Firehose. Set the payment service to retrieve the message from Kinesis Data Firehose and process the order.
Create a rule in AWS CloudTrail to invoke an AWS Lambda function based on the logged application path request Use Lambda to query the database, call the payment service, and pass in the order information.
Create a rule in AWS CloudTrail to invoke an AWS Lambda function based on the logged application path request Use Lambda to query the database, call the payment service, and pass in the order information.
Store the order in the database. Send a message that includes the order number to Amazon Simple Notification Service (Amazon SNS). Set the payment service to poll Amazon SNS. retrieve the message, and process the order.
Store the order in the database. Send a message that includes the order number to Amazon Simple Notification Service (Amazon SNS). Set the payment service to poll Amazon SNS. retrieve the message, and process the order.
Store the order in the database. Send a message that includes the order number to an Amazon Simple Queue Service (Amazon SQS) FIFO queue. Set the payment service to retrieve the message and process the order. Delete the message from the queue.
Store the order in the database. Send a message that includes the order number to an Amazon Simple Queue Service (Amazon SQS) FIFO queue. Set the payment service to retrieve the message and process the order. Delete the message from the queue.
Suggested answer: D

Explanation:

This approach ensures that the order creation and payment processing steps are separate and atomic. By sending the order information to an SQS FIFO queue, the payment service can process the order one at a time and in the order they were received. If the payment service is unable to process an order, it can be retried later, preventing the creation of multiple orders. The deletion of the message from the queue after it is processed will prevent the same message from being processed multiple times.

asked 16/09/2024
Mark David
44 questions

Question 168

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A company is planning to build a high performance computing (HPC) workload as a service solution that Is hosted on AWS A group of 16 AmazonEC2Ltnux Instances requires the lowest possible latency for node-to-node communication. The instances also need a shared block device volume for highperforming storage.

Which solution will meet these requirements?

Use a duster placement group. Attach a single Provisioned IOPS SSD Amazon Elastic Block Store (Amazon E BS) volume to all the instances by using Amazon EBS Multi-Attach
Use a duster placement group. Attach a single Provisioned IOPS SSD Amazon Elastic Block Store (Amazon E BS) volume to all the instances by using Amazon EBS Multi-Attach
Use a cluster placement group. Create shared 'lie systems across the instances by using Amazon Elastic File System (Amazon EFS)
Use a cluster placement group. Create shared 'lie systems across the instances by using Amazon Elastic File System (Amazon EFS)
Use a partition placement group. Create shared tile systems across the instances by using Amazon Elastic File System (Amazon EFS).
Use a partition placement group. Create shared tile systems across the instances by using Amazon Elastic File System (Amazon EFS).
Use a spread placement group. Attach a single Provisioned IOPS SSD Amazon Elastic Block Store (Amazon EBS) volume to all the instances by using Amazon EBS Multi-Attach
Use a spread placement group. Attach a single Provisioned IOPS SSD Amazon Elastic Block Store (Amazon EBS) volume to all the instances by using Amazon EBS Multi-Attach
Suggested answer: A
asked 16/09/2024
Ghalem benhameurlaine
31 questions

Question 169

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A company has an event-driven application that invokes AWS Lambda functions up to 800 times each minute with varying runtimes. The Lambda functions access data that is stored in an Amazon Aurora MySQL OB cluster. The company is noticing connection timeouts as user activity increases The database shows no signs of being overloaded. CPU. memory, and disk access metrics are all low. Which solution will resolve this issue with the LEAST operational overhead?

Adjust the size of the Aurora MySQL nodes to handle more connections. Configure retry logic in the Lambda functions for attempts to connect to the database
Adjust the size of the Aurora MySQL nodes to handle more connections. Configure retry logic in the Lambda functions for attempts to connect to the database
Set up Amazon ElastiCache tor Redls to cache commonly read items from the database. Configure the Lambda functions to connect to ElastiCache for reads.
Set up Amazon ElastiCache tor Redls to cache commonly read items from the database. Configure the Lambda functions to connect to ElastiCache for reads.
Add an Aurora Replica as a reader node. Configure the Lambda functions to connect to the reader endpoint of the OB cluster rather than lo the writer endpoint.
Add an Aurora Replica as a reader node. Configure the Lambda functions to connect to the reader endpoint of the OB cluster rather than lo the writer endpoint.
Use Amazon ROS Proxy to create a proxy. Set the DB cluster as the target database Configure the Lambda functions lo connect to the proxy rather than to the DB cluster.
Use Amazon ROS Proxy to create a proxy. Set the DB cluster as the target database Configure the Lambda functions lo connect to the proxy rather than to the DB cluster.
Suggested answer: D
asked 16/09/2024
Selladurai Ravi
42 questions

Question 170

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A company is building a containerized application on premises and decides to move the application to AWS. The application will have thousands of users soon after li is deployed. The company Is unsure how to manage the deployment of containers at scale. The company needs to deploy the containerized application in a highly available architecture that minimizes operational overhead. Which solution will meet these requirements?

Store container images In an Amazon Elastic Container Registry (Amazon ECR) repository. Use an Amazon Elastic Container Service (Amazon ECS) cluster with the AWS Fargate launch type to run the containers. Use target tracking to scale automatically based on demand.
Store container images In an Amazon Elastic Container Registry (Amazon ECR) repository. Use an Amazon Elastic Container Service (Amazon ECS) cluster with the AWS Fargate launch type to run the containers. Use target tracking to scale automatically based on demand.
Store container images in an Amazon Elastic Container Registry (Amazon ECR) repository. Use an Amazon Elastic Container Service (Amazon ECS) cluster with the Amazon EC2 launch type to run the containers. Use target tracking to scale automatically based on demand.
Store container images in an Amazon Elastic Container Registry (Amazon ECR) repository. Use an Amazon Elastic Container Service (Amazon ECS) cluster with the Amazon EC2 launch type to run the containers. Use target tracking to scale automatically based on demand.
Store container images in a repository that runs on an Amazon EC2 instance. Run the containers on EC2 instances that are spread across multiple Availability Zones. Monitor the average CPU utilization in Amazon CloudWatch. Launch new EC2 instances as needed
Store container images in a repository that runs on an Amazon EC2 instance. Run the containers on EC2 instances that are spread across multiple Availability Zones. Monitor the average CPU utilization in Amazon CloudWatch. Launch new EC2 instances as needed
Create an Amazon EC2 Amazon Machine Image (AMI) that contains the container image Launch EC2 Instances in an Auto Scaling group across multiple Availability Zones. Use an Amazon CloudWatch alarm to scale out EC2 instances when the average CPU utilization threshold is breached.
Create an Amazon EC2 Amazon Machine Image (AMI) that contains the container image Launch EC2 Instances in an Auto Scaling group across multiple Availability Zones. Use an Amazon CloudWatch alarm to scale out EC2 instances when the average CPU utilization threshold is breached.
Suggested answer: A
asked 16/09/2024
Rafal Piasecki
40 questions
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