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NEW QUESTION: 1
You have an Azure DevOps project that contains a build pipeline. The build pipeline uses approximately 50 open source libraries.
You need to ensure that the project can be scanned for known security vulnerabilities in the open source libraries.
What should you do? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: A Build task
Trigger a build
You have a Java code provisioned by the Azure DevOps demo generator. You will use WhiteSource Bolt extension to check the vulnerable components present in this code.
* Go to Builds section under Pipelines tab, select the build definition WhiteSourceBolt and click on Queue to trigger a build.
* To view the build in progress status, click on ellipsis and select View build results.
Box 2: WhiteSource Bolt
WhiteSource is the leader in continuous open source software security and compliance management.
WhiteSource integrates into your build process, irrespective of your programming languages, build tools, or development environments. It works automatically, continuously, and silently in the background, checking the security, licensing, and quality of your open source components against WhiteSource constantly-updated denitive database of open source repositories.
References:
https://www.azuredevopslabs.com/labs/vstsextend/whitesource/
NEW QUESTION: 2
Which type of relationship links sub-queries by default?
A. OR
B. NOR
C. NAND
D. AND
Answer: D
NEW QUESTION: 3
You have been asked to de-risk deployments at your company. Specifically, the CEO is concerned about
outages that occur because of accidental inconsistencies between Staging and Production, which sometimes
cause unexpected behaviors in Production even when Staging tests pass. You already use Docker to get high
consistency between Staging and Production for the application environment on your EC2 instances. How do
you further de-risk the rest of the execution environment, since in AWS, there are many service components
you may use beyond EC2 virtual machines?
A. Use AMIs to ensure the whole machine, including the kernel of the virual machines, is consistent, since
Docker uses Linux Container (LXC) technology, and we need to make sure the container environment is
consistent.
B. Use AWS Config to force the Staging and Production stacks to have configuration parity. Any
differences will be detected for you so you are aware of risks.
C. Use AWS ECS and Docker clustering. This will make sure that the AMIs and machine sizes are the
same across both environments.
D. Develop models of your entire cloud system in CloudFormation. Use this model in Staging and
Production to achieve greater parity. */
Answer: D
Explanation:
Explanation
After you have your stacks and resources set up, you can reuse your templates to replicate your infrastructure
in multiple environments. For example, you can create
environments for development, testing, and production so that you can test changes before implementing them
into production. To make templates reusable, use
the parameters, mappings, and conditions sections so that you can customize your stacks when you create
them. For example, for your development environments,
you can specify a lower-cost instance type compared to your production environment, but all other
configurations and settings remain the same
For more information on Cloudformation best practices please refer to the below link:
* http://docs.aws.amazon.com/AWSCIoudFormation/latest/UserGuide/best-practices.
html