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์๋ฒฝํDVA-C02์ธ์ฆ์ํ๊ณต๋ถ์ธ์ฆ์๋ฃ
IT์ ๊ณ ์ข ์ฌ์๋ผ๋ฉด ๋๊ตฌ๋ Amazon ์ธ์ฆDVA-C02์ํ์ ํจ์คํ๊ณ ์ถ์ดํ๋ฆฌ๋ผ๊ณ ๋ฏฟ์ต๋๋ค. ๋ง์ ๋ถ๋ค์ด ์ด๋ ๊ฒ ์ข์ ์ธ์ฆ์ํ์ ์์ฃผ ์ด๋ ต๋ค๊ณ ์๊ฐํฉ๋๋ค. ๋ค ๋ง์ต๋๋ค. ํจ์คํ ํ์จ์ ์์ฃผ ๋ฎ์ต๋๋ค. ๋ ธ๋ ฅํ์ง ์๊ณ ์ผ ๋น์ฐํ ๋ถ๊ฐ๋ฅํ ์ผ์ด ์๋๊ฒ ์ต๋๊น? Amazon ์ธ์ฆDVA-C02 ์ํ์ ๊ธฐ์ด ์ง์ ๊ทธ๋ฆฌ๊ณ ๋ฅ์ํ ์ ์ ์ง์์ด ํ์ ํฉ๋๋ค. ITDumpsKR๋ ์ฌ๋ฌ๋ถ๋คํํ Amazon ์ธ์ฆDVA-C02์ํ์ ์ฝ๊ฒ ๋นจ๋ฆฌ ํจ์คํ ์ ์๋๋ก ๋์์ฃผ๋ ์ฌ์ดํธ์ ๋๋ค. ITDumpsKR์Amazon ์ธ์ฆDVA-C02์ํ๊ด๋ จ ์๋ฃ๋ก ์ฌ๋ฌ๋ถ์ ์งง์ ์๊ฐ๋ด์ ๊ฐ๋จํ๊ฒ ์ํ์ ํจ์คํ ์ ์์ต๋๋ค. ์๊ฐ๋ ์ ์ฝํ๊ณ ๋๋ ์ ๊ฒ ๋ค์ด๋ ์ด๋ฐ ์ ์์ ์ฌ๋ฌ๋ถ๋คํํ ๋ฑ ์ข์ ํด๊ฒฐ์ฑ ์ด๋ผ๊ณ ๋ด ๋๋ค.
DVA-C02 ์ํ์ ์ค๋นํ๋ ค๋ฉด ์์์๋ AWS ์๋น์ค ๋ฐ ๋๊ตฌ์ ๋ํ ์ดํด์ AWS ํ๋ซํผ์์ ์ ํ๋ฆฌ์ผ์ด์ ์ ๊ฐ๋ฐํ๊ณ ๋ฐฐํฌํ๋ ๊ฒฝํ์ ๊ฐ๋ ฅํ๊ฒ ์ดํดํด์ผํฉ๋๋ค. AWS๋ ํ๋ณด์๊ฐ ๊ต์ก ๊ณผ์ , ์ค์ต ์ํ ๋ฐ ํ์ต ๊ฐ์ด๋๋ฅผ ํฌํจํ์ฌ ์ํ ์ค๋น๋ฅผ ํ ์ ์๋๋ก ๋ค์ํ ์๋ฃ๋ฅผ ์ ๊ณตํฉ๋๋ค.
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Amazon DVA-C02๋ Amazon Web Services (AWS)๊ฐ ์ ๊ณตํ๋ ๊ณต์ ์ธ์ฆ ์ํ์ผ๋ก, AWS ํ๋ซํผ์์ ์ ํ๋ฆฌ์ผ์ด์ ์ ๊ฐ๋ฐํ๊ณ ๋ฐฐํฌํ๋ ๊ธฐ์ ์ ์ธ ์ง์๊ณผ ๋ฅ๋ ฅ์ ์ธ์ฆํฉ๋๋ค. ์ด ์ํ์ ์ ์ด๋ 1๋ ์ด์์ AWS ์๋น์ค ์ค๋ฌด ๊ฒฝํ์ด ์์ผ๋ฉฐ, ํต์ฌ AWS ์๋น์ค์ AWS์์ ์ ํ๋ฆฌ์ผ์ด์ ์ ๊ฐ๋ฐ, ๋ฐฐํฌ ๋ฐ ๋๋ฒ๊น ํ๋ ์ต์์ ๋ฐฉ๋ฒ์ ๋ํด ์ ์๊ณ ์๋ ๊ฐ๋ฐ์๋ค์ ๋์์ผ๋ก ์ค๊ณ๋์์ต๋๋ค.
์ต์ AWS Certified Associate DVA-C02 ๋ฌด๋ฃ์ํ๋ฌธ์ (Q543-Q548):
์ง๋ฌธ # 543
A developer is using AWS Step Functions to automate a workflow The workflow defines each step as an AWS Lambda function task The developer notices that runs of the Step Functions state machine fail in the GetResource task with either an UlegalArgumentException error or a TooManyRequestsException error The developer wants the state machine to stop running when the state machine encounters an UlegalArgumentException error. The state machine needs to retry the GetResource task one additional time after 10 seconds if the state machine encounters a TooManyRequestsException error. If the second attempt fails, the developer wants the state machine to stop running.
How can the developer implement the Lambda retry functionality without adding unnecessary complexity to the state machine'?
- A. Add a catcher to the GetResource task Configure the catcher with an error type of TooManyRequestsException. an interval of 10 seconds, and a maximum attempts value of 1. Configure the next step to be the GetResource task.
- B. Add a Delay task after the GetResource task. Add a catcher to the GetResource task. Configure the catcher with an error type of TooManyRequestsException. Configure the next step to be the Delay task Configure the Delay task to wait for an interval of 10 seconds Configure the next step to be the GetResource task.
- C. Duplicate the GetResource task Rename the new GetResource task to TryAgain Add a catcher to the original GetResource task Configure the catcher with an error type of TooManyRequestsException.Configure the next step to be TryAgain.
- D. Add a retrier to the GetResource task Configure the retrier with an error type of TooManyRequestsException, an interval of 10 seconds, and a maximum attempts value of 1.
์ ๋ต๏ผD
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* Step Functions Retriers: Retriers provide a built-in way to gracefully handle transient errors within State Machines. Here's how to use them:
* Directly attach a retrier to the problematic 'GetResource' task.
* Configure the retrier:
* ErrorEquals: Set this to ['TooManyRequestsException'] to target the specific error.
* IntervalSeconds: Set to 10 for the desired retry delay.
* MaxAttempts: Set to 1, as you want only one retry attempt.
* Error Handling:
* Upon 'TooManyRequestsException', the retrier triggers the task again after 10 seconds.
* On a second failure, Step Functions moves to the next state or fails the workflow, as per your design.
* 'IllegalArgumentException' causes error propagation as intended.
References:
* Error Handling in Step Functions: https://docs.aws.amazon.com/step-functions/latest/dg/concepts- error-handling.html
ย
์ง๋ฌธ # 544
A company's developer has deployed an application in AWS by using AWS CloudFormation The CloudFormation stack includes parameters in AWS Systems Manager Parameter Store that the application uses as configuration settings. The application can modify the parameter values When the developer updated the stack to create additional resources with tags, the developer noted that the parameter values were reset and that the values ignored the latest changes made by the application. The developer needs to change the way the company deploys the CloudFormation stack. The developer also needs to avoid resetting the parameter values outside the stack.
Which solution will meet these requirements with the LEAST development effort?
- A. Create an Amazon DynamoDB table as a resource in the CloudFormation stack to hold configuration data for the application Migrate the parameters that the application is modifying from Parameter Store to the DynamoDB table
- B. Modify the CloudFormation stack policy to deny updates on Parameter Store parameters
- C. Create an Amazon RDS DB instance as a resource in the CloudFormation stack. Create a table in the database for parameter configuration. Migrate the parameters that the application is modifying from Parameter Store to the configuration table
- D. Modify the CloudFormation stack to set the deletion policy to Retain for the Parameter Store parameters.
์ ๋ต๏ผD
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Problem: CloudFormation updates reset Parameter Store parameters, disrupting application behavior.
Deletion Policy: CloudFormation has a deletion policy that controls resource behavior when a stack is deleted or updated. The 'Retain' policy instructs CloudFormation to preserve a resource's current state.
Least Development Effort: This solution involves a simple CloudFormation template modification, requiring minimal code changes.
Reference:
CloudFormation Deletion Policies: https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-attribute-deletionpolicy.html
ย
์ง๋ฌธ # 545
A company has an AWS Step Functions state machine named myStateMachine. The company configured a service role for Step Functions. The developer must ensure that only the myStateMachine state machine can assume the service role.
Which statement should the developer add to the trust policy to meet this requirement?
- A. "Condition": { "ArnLike": { "aws:SourceArn":"urn:aws:states:ap-south-1:111111111111:stateMachine:myStateMachine" } }
- B. "Condition": { "ArnLike": { "aws:SourceArn":"arn:aws:states:ap-south-1:*:stateMachine:myStateMachine" } }
- C. "Condition": { "StringEquals": { "aws:SourceAccount": "111111111111" } }
- D. "Condition": { "StringNotEquals": { "aws:SourceArn":"arn:aws:states:ap-south-1:111111111111:stateMachine:myStateMachine" } }
์ ๋ต๏ผA
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Comprehensive Detailed Explanation with all AWS Reference
Why Option A is Correct:
The ArnLike condition with the specific ARN for myStateMachine ensures that only this state machine can assume the role. The format urn:aws:states is correct for specifying Step Functions resources.
Why Other Options are Incorrect:
Option B: Wildcards (*) in the ARN allow more resources to assume the role, which violates the requirement.
Option C: This condition restricts the account but not the specific state machine.
Option D: A StringNotEquals condition is used to deny specific values, which does not ensure exclusivity for the desired state machine.
AWS Documentation Reference:
IAM Trust Policies for Step Functions
ย
์ง๋ฌธ # 546
A developer is working on a web application that uses Amazon DynamoDB as its data store The application has two DynamoDB tables one table that is named artists and one table that is named songs The artists table has artistName as the partition key. The songs table has songName as the partition key and artistName as the sort key The table usage patterns include the retrieval of multiple songs and artists in a single database operation from the webpage. The developer needs a way to retrieve this information with minimal network traffic and optimal application performance.
Which solution will meet these requirements'?
- A. Perform a Scan operation on each table that filters by the list of songName/artistName for the songs table and the list of artistName in the artists table.
- B. Create a local secondary index (LSI) on the songs table that uses artistName as the partition key Perform a query operation for each artistName on the songs table that filters by the list of songName Perform a query operation for each artistName on the artists table
- C. Perform a BatchGetltem operation that returns items from the two tables. Use the list of songName artistName keys for the songs table and the list of artistName key for the artists table.
- D. Perform a BatchGetltem operation on the songs table that uses the songName/artistName keys. Perform a BatchGetltem operation on the artists table that uses artistName as the key.
์ ๋ต๏ผC
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Explanation
BatchGetItem can return one or multiple items from one or more tables. For reference check the link below
https://docs.aws.amazon.com/amazondynamodb/latest/APIReference/API_BatchGetItem.html
ย
์ง๋ฌธ # 547
A developer has deployed an AWS Lambda function that is subscribed to an Amazon Simple Notification Service {Amazon SNS) topic. The developer must implement a solution to add a record of each Lambda function invocation to an Amazon Simple Queue Service {Amazon SQS) queue.
Which solution will meet this requirement?
- A. Configure the SQS queue as a dead-letter queue for the Lambda function.
- B. Add a single asynchronous invocation destination to the Lambda function to capture successful invocations. Configure the SQS queue as the destination. Create an Amazon CloudWatch alarm based on the DestinationDeliveryFailures metric to catch any message that cannot be delivered.
- C. Add two asynchronous invocation destinations to the Lambda function: one destination for successful invocations and one destination for failed invocations. Configure the SQS queue as the destination for each type. Create an Amazon CloudWatch alarm based on the DestinationDeliveryFailures metric to catch any message that cannot be delivered.
- D. Create code that uses the AWS SDK to call the SQS SendMessage operation to add the invocation details to the SQS queue. Add the code to the end of the Lambda function.
์ ๋ต๏ผB
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์ง๋ฌธ # 548
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