What is a key difference between conventional CloudFormation templates and AWS CDK regarding parameter management?
AWS Cloud Development Kit - From Beginner to Professional - Customize Stack Parameters: CDK Context Variables

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7 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
CloudFormation templates do not support parameters.
CDK allows dynamic parameter management.
CDK does not support parameter stores.
CDK requires hardcoding all parameters.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Where can you store configuration parameters for your app when using AWS CDK?
In the app.py file only.
In the CDK JSON file or parameter store.
In a separate database.
In the AWS console.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is it recommended to move configurable values outside the app structure in AWS CDK?
To make the app structure more complex.
To increase the size of the app.py file.
To allow dynamic changes without modifying the app code.
To ensure values are hardcoded.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How can you access parameters stored in the CDK JSON file within your application code?
By hardcoding them in the app.py file.
By accessing them through the AWS console.
By using app.nodes.try_get_context method.
By using AWS CLI commands.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What method is used to retrieve context values in AWS CDK?
app.get_context()
app.retrieve_context()
app.context_access()
app.nodes.try_get_context()
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the benefit of using custom KMS keys for encryption in AWS S3 buckets?
It automatically reduces costs.
It provides more control over encryption keys.
It allows for default encryption settings.
It is the only way to encrypt S3 buckets.
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What should you do if you encounter an error related to KMS in your AWS CDK application?
Ignore the error.
Ensure KMS is installed using pip.
Reinstall the entire AWS CDK.
Contact AWS support immediately.
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