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NEW QUESTION: 1
An application requires a specific key/value to be updated in order to process a batch job. The value should be either "true" or "false". However, when developers have been updating the value, sometimes they mistype the value or capitalize on the value, causing the batch job not to run. What feature of a Vault policy can be used in order to restrict the entry to the required values?
A. add a deny statement for all possible misspellings of the value
B. added an allowed_parameters value to the policy
C. change the policy to include the list capability
D. use a * wildcard at the end of the policy
Answer: B
Explanation:
allowed_parameters - Whitelists a list of keys and values that are permitted on the given path.
Setting a parameter with a value of the empty list allows the parameter to contain any value.
Reference link:- https://www.vaultproject.io/docs/concepts/policies

NEW QUESTION: 2
You have a Microsoft ASP.NET Core web app in Azure that is accessed worldwide.
You need to run a URL ping test once every five minutes and create an alert when the web app is unavailable from specific Azure regions. The solution must minimize development time.
What should you do?
A. Write an Azure function and deploy the function to the specific regions.
B. Create an Azure Monitor Availability metric and alert
C. Create an Azure Service Health alert for the specific regions.
D. Create an Azure Application Insights availability test and alert.
Answer: D
Explanation:
DependaBot is a useful tool to regularly check for dependency updates. By helping to keep your project up to date, DependaBot can reduce technical debt and immediately apply security vulnerabilities when patches are released. How does DependaBot work?
* DependaBot regularly checks dependencies for updates
* If an update is found, DependaBot creates a new branch with this upgrade and Pull Request for approval
* You review the new Pull Request, ensure the tests passed, review the code, and decide if you can merge the change There are three types of Application Insights availability tests:
* URL ping test: a simple test that you can create in the Azure portal.
* Multi-step web test
* Custom Track Availability Tests
Note: After you've deployed your web app/website, you can set up recurring tests to monitor availability and responsiveness. Azure Application Insights sends web requests to your application at regular intervals from points around the world. It can alert you if your application isn't responding, or if it responds too slowly.
You can set up availability tests for any HTTP or HTTPS endpoint that is accessible from the public internet. You don't have to make any changes to the website you're testing. In fact, it doesn't even have to be a site you own. You can test the availability of a REST API that your service depends on.
Reference:
https://docs.microsoft.com/en-us/azure/azure-monitor/app/monitor-web-app-availability#create-a-url-ping-test

NEW QUESTION: 3
You have a web application that is currently running on a collection of micro instance types in a single AZ behind a single load balancer. You have an Auto Scaling group configured to scale from 2 to 64 instances.
When reviewing your CloudWatch metrics, you see that sometimes your Scaling group is running 64 micro instances. The web application is reading and writing to a DyanamoDB-configured backend and configured with 800 Write Capacity units and 800 Read Capacity units. Your customers are complaining that they are experiencing load times when viewing you website. You have investigated the DynamoDB CloudWatch metrics; you are under the provisioned read and Write Capacity units and there is no throttling.
How do you scale your service to improve the load times and ensure the principles of high availability?
A. Add a second load balancer to your Auto Scaling group so that you can support more inbound connections per second
B. Change your Auto Scaling group configuration to use larger instances and include multiple AZs instead of one
C. Change your Auto Scaling group configuration to include multiple AZs
D. Change you Auto Scaling group configuration to include multiple AZs, and increase the number of Read Capacity units in your DynamoDB table by a factor of three, because you will need to be calling DynamoDB from three AZs
Answer: B

NEW QUESTION: 4

A. Option D
B. Option C
C. Option B
D. Option A
E. Option E
Answer: A,B
Explanation:
Explanation
With the Deletion Policy attribute you can preserve or (in some cases) backup a resource when its stack is deleted. You specify a DeletionPolicy attribute for each resource that you want to control. If a resource has no DeletionPolicy attribute, AWS Cloud Formation deletes the resource by default.
To keep a resource when its stack is deleted, specify Retain for that resource. You can use retain for any resource. For example, you can retain a nested stack, S3 bucket, or CC2 instance so that you can continue to use or modify those resources after you delete their stacks.
For more information on Deletion policy, please visit the below url
* http://docs.aws.amazon.com/AWSCIoudFormation/latest/UserGuide/aws-attribute-deletionpolicy.html

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