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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q117-Q122):
NEW QUESTION # 117
A company generates approximately 20 GB of data multiple times each day. The company uses AWS DataSync to copy all data from on-premises storage to Amazon S3 every 6 hours for further processing.
The analytics team wants to modify the copy process to copy only data relevant to the analytics team and ignore the rest of the data. The team wants to copy data as soon as possible and receive a notification when the copy process is finished.
Which combination of steps will meet these requirements MOST cost-effectively? (Select THREE.)
- A. Modify the data generation process on premises to create a manifest file at the end of the copy process with the names of the objects to be copied to Amazon S3. Create an AWS Lambda function to load the manifest file data into an Amazon DynamoDB table.
- B. Create an AWS Lambda function that Amazon EventBridge invokes when the manifest file is loaded into Amazon DynamoDB. Configure the Lambda function to copy the data from on-premises storage to the S3 bucket that uses the manifest file.
- C. Create an Amazon SNS topic. Create an Amazon EventBridge rule to send an email notification to the SNS topic when the DataSync task execution status changes to SUCCESS or to ERROR.
- D. Create an AWS Lambda function that an S3 Event Notification invokes when the manifest file is uploaded. Configure the Lambda function to invoke the DataSync task by calling the StartTaskExecution API action with a manifest.
- E. Modify the data generation process on premises to create a manifest file at the end of the copy process with the names of the objects to be copied to Amazon S3. Create a custom script to upload the manifest file to an S3 bucket.
- F. Create an Amazon SNS topic. Create an AWS Lambda function to send an email notification to the SNS topic when the DataSync task execution status changes to SUCCESS or to ERROR.
Answer: C,D,E
Explanation:
The analytics team wants to copy only a subset of the data, run the copy as soon as data is ready, and receive notifications when the process completes. AWS DataSync supports the use of manifest files to control exactly which files or objects are transferred. By generating a manifest file on premises that lists only the relevant data and uploading that manifest to Amazon S3, the company can precisely limit what DataSync copies, which reduces data transfer costs and processing overhead.
Option A satisfies the requirement to identify only analytics-relevant data by creating and uploading a manifest file that lists the objects to be transferred. This avoids copying unnecessary data and is cost-effective.
Option D uses Amazon S3 Event Notifications to trigger an AWS Lambda function as soon as the manifest file is uploaded. The Lambda function starts the DataSync task and references the manifest file. This ensures that the copy process begins immediately after data generation, rather than waiting for a fixed schedule, which meets the "as soon as possible" requirement.
Option E provides a fully managed and scalable notification mechanism. AWS DataSync publishes task execution state changes as events. Amazon EventBridge can capture SUCCESS or ERROR states and route those events to Amazon SNS, which can then send email notifications. This approach avoids custom polling logic and minimizes operational overhead.
Option B and C introduce Amazon DynamoDB unnecessarily. DataSync can directly consume a manifest file from Amazon S3, so loading manifest data into DynamoDB and orchestrating copy logic manually adds cost and complexity without benefit.
Option F relies on a custom Lambda function to monitor task state changes, which increases operational overhead compared to the native EventBridge integration with DataSync.
Therefore, using S3-based manifests, event-driven invocation of DataSync, and EventBridge-based notifications is the most cost-effective and operationally efficient solution.
References:AWS documentation on AWS DataSync manifest files for selective data transfer.AWS documentation on integrating AWS DataSync with Amazon S3 Event Notifications and AWS Lambda.AWS documentation on AWS DataSync task state change events and Amazon EventBridge integration with Amazon SNS for notifications.
NEW QUESTION # 118
A company is running multiple workloads in the AWS Cloud. The company has separate units for software development The company uses AWS Organizations and federation with SAML to give permissions to developers to manage resources in their AWS accounts The development units each deploy their production workloads into a common production account Recently, an incident occurred in the production account in which members of a development unit terminated an EC2 instance that belonged to a different development unit. A solutions architect must create a solution that prevents a similar incident from happening in the future. The solution also must a low developers the possibilityy to manage the instances used for their workloads.
Which strategy will meet these requirements?
- A. Pass an attribute for DevelopmentUnit as an AWS Security Token Service (AWS STS) session tag during SAML federation Create an SCP with an allow action and a StrmgEquals condition for the DevelopmentUnit resource tag and aws Principal Tag 'DevelopmentUnit Assign the SCP to the root OU.
- B. Pass an attribute for DevelopmentUnit as an AWS Security Token Service (AWS STS) session tag during SAML federation Update the IAM policy for the developers' assumed IAM role with a deny action and a StringNotEquals condition for the DevelopmentUnit resource tag and aws PrincipalTag/DevelopmentUnit
- C. Create separate OUs in AWS Organizations for each development unit Assign the created OUs to the company AWS accounts Create separate SCPs with a deny action and a StringNotEquals condition for the DevelopmentUnit resource tag that matches the development unit name Assign the SCP to the corresponding OU
- D. Create separate IAM policies for each development unit For every IAM policy add an allow action and a StringEquals condition for the DevelopmentUnit resource tag and the development unit name During SAML federation use AWS Security Token Service (AWS STS) to assign the IAM policy and match the development unit name to the assumed IAM role
Answer: C
NEW QUESTION # 119
A company has an application that analyzes and stores image data on premises The application receives millions of new image files every day Files are an average of 1 MB in size The files are analyzed in batches of
1 GB When the application analyzes a batch the application zips the imagestogether The application then archives the images as a single file in an on-premises NFS server for long-term storage The company has a Microsoft Hyper-V environment on premises and has compute capacity available The company does not have storage capacity and wants to archive the images on AWS The company needs the ability to retrieve archived data within t week of a request.
The company has a 10 Gbps AWS Direct Connect connection between its on-premises data center and AWS.
The company needs to set bandwidth limits and schedule archived images to be copied to AWS dunng non- business hours.
Which solution will meet these requirements MOST cost-effectively?
- A. Deploy an AWS DataSync agent on a new general purpose Amazon EC2 instance Configure the DataSync agent to copy the batch of files from the NFS on-premises server to Amazon S3 Standard After the successful copy deletes the data from the on-premises storage Create an S3 Lifecycle rule to transition objects from S3 Standard to S3 Glacier Deep Archive after 1 day
- B. Deploy an AWS DataSync agent on a new GPU-based Amazon EC2 instance Configure the DataSync agent to copy the batch of files from the NFS on-premises server to Amazon S3 Glacier Instant Retrieval After the successful copy delete the data from the on-premises storage
- C. Deploy an AWS Storage Gateway Tape Gateway on premises in the Hyper-V environment Connect the Tape Gateway to AWS Use automatic tape creation Specify an Amazon S3 Glacier Deep Archive pool Eject the tape after the batch of images is copied
- D. Deploy an AWS DataSync agent as a Hyper-V VM on premises Configure the DataSync agent to copy the batch of files from the NFS on-premises server to Amazon S3 Glacier Deep Archive After the successful copy delete the data from the on-premises storage
Answer: D
Explanation:
Deploy DataSync Agent:
Install the AWS DataSync agent as a VM in your Hyper-V environment. This agent facilitates the data transfer between your on-premises storage and AWS.
Configure Source and Destination:
Set up the source location to point to your on-premises NFS server where the image batches are stored.
Configure the destination location to be an Amazon S3 bucket with the Glacier Deep Archive storage class.
This storage class is cost-effective for long-term storage with retrieval times of up to 12 hours.
Create DataSync Tasks:
Create and configure DataSync tasks to manage the data transfer. Schedule these tasks to run during non- business hours to minimize bandwidth usage during peak times. The tasks will handle the copying of data batches from the NFS server to the S3 bucket.
Set Bandwidth Limits:
In the DataSync configuration, set bandwidth limits to control the amount of data being transferred at any given time. This ensures that your network's performance is not adversely affected during business hours.
Delete On-Premises Data:
After successfully copying the data to S3 Glacier Deep Archive, configure the DataSync task to delete the data from your on-premises NFS server. This helps manage storage capacity on-premises and ensures data is securely archived on AWS.
This approach leverages AWS DataSync for efficient, secure, and automated data transfer, and S3 Glacier Deep Archive for cost-effective long-term storage.
References
AWS DataSync Overview#41#.
AWS Storage Blog on DataSync Migration#40#.
Amazon S3 Transfer Acceleration Documentation#42#.
NEW QUESTION # 120
A company is running multiple workloads in the AWS Cloud. The company has separate units for software development The company uses AWS Organizations and federation with SAML to give permissions to developers to manage resources in their AWS accounts The development units each deploy their production workloads into a common production account Recently, an incident occurred in the production account in which members of a development unit terminated an EC2 instance that belonged to a different development unit. A solutions architect must create a solution that prevents a similar incident from happening in the future. The solution also must a low developers the possibilityy to manage the instances used for their workloads.
Which strategy will meet these requirements?
- A. Pass an attribute for DevelopmentUnit as an AWS Security Token Service (AWS STS) session tag during SAML federation Create an SCP with an allow action and a StrmgEquals condition for the DevelopmentUnit resource tag and aws Principal Tag 'DevelopmentUnit Assign the SCP to the root OU.
- B. Create separate OUs in AWS Organizations for each development unit Assign the created OUs to the company AWS accounts Create separate SCPs with a deny action and a StringNotEquals condition for the DevelopmentUnit resource tag that matches the development unit name Assign the SCP to the corresponding OU
- C. Pass an attribute for DevelopmentUnit as an AWS Security Token Service (AWS STS) session tag during SAML federation Update the IAM policy for the developers' assumed IAM role with a deny action and a StringNotEquals condition for the DevelopmentUnit resource tag and aws PrincipalTag/DevelopmentUnit
- D. Create separate IAM policies for each development unit For every IAM policy add an allow action and a StringEquals condition for the DevelopmentUnit resource tag and the development unit name During SAML federation use AWS Security Token Service (AWS STS) to assign the IAM policy and match the development unit name to the assumed IAM role
Answer: C
Explanation:
https://docs.aws.amazon.com/IAM/latest/UserGuide/tutorial_abac-saml.html
NEW QUESTION # 121
A company is creating a REST API to share information with six of Its partners based m the United States.
The company has created an Amazon API Gateway Regional endpoint.
Each of the six partners will access the API once per day to post daily sales figures.
After Initial deployment the company observes 1,000 requests per second originating from 500 different IP addresses around the world.
The company believes this traffic is originating from a botnet end wants to secure its API while minimizing cost.
Which approach should the company take to secure its API?
- A. Create an AWS WAF web ACL with a rule to allow access to the IP addresses used by the six partners.
Associate the web ACL with the API.
Create a usage plan with a reques limit and associate it with the API.
Create an API key and add it lo Hie usage plan. - B. Create an Amazon CloudFront distribution with the API as the origin.
Create an AWS WAF web ACL with a rule to block clients that submit more than five requests per day.
Associate the web ACL with the CloudFront distribution.
Add a custom header to the CloudFront distribution populated with an API key.
Configure the API to require an API key on the POST method. - C. Create an AWS WAF web ACL with a rule to allow access to the IP addresses used by the six partners.
Associate the web ACL with the API.
Create a resource policy with a request limit and associate it with the API.
Configure the API to require an API key on the POST method. - D. Create an Amazon CloudFront distribution with the API as the origin.
Create an AWS WAF web ACL with a rule to block clients that submit more than five requests per day.
Associate the web ACL with the CloudFront distribution.
Configure CloudFront with an origin access identity (OAI) and associate it with the distribution.
Configure API Gateway to ensure only the OAI can execute the POST method.
Answer: A
Explanation:
A usage plan specifies who can access one or more deployed API stages and methods - and also how much and how fast they can access them. The plan uses API keys to identify API clients and meters access to the associated API stages for each key. It also lets you configure throttling limits and quota limits that are enforced on individual client API keys.
https://docs.aws.amazon.com/apigateway/latest/developerguide/api-gateway-api-usage- plans.html
NEW QUESTION # 122
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