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NEW QUESTION: 1
Your SLA with your cloud provider ensures continuity for all services.
A. False
B. True
Answer: A

NEW QUESTION: 2
Your team wants to begin practicing continuous delivery using CloudFormation, to enable automated builds and deploys of whole, versioned stacks or stack layers. You have a 3-tier, mission-critical system. Which of the following is NOT a best practice for using CloudFormation in a continuous delivery environment?
A. Parametrize the template and use Mappings to ensure your template works in multiple Regions.
B. Model your stack in one template, so you can leverage CloudFormation's state management and dependency resolution to propagate all changes.
C. Use the AWS CloudFormation ValidateTemplate call before publishing changes to AWS.
D. Use CloudFormation to create brand new infrastructure for all stateless resources on each push, and run integration tests on that set of infrastructure.
Answer: B
Explanation:
Explanation
Answer - B
Some of the best practices for Cloudformation are
* Created Nested stacks
As your infrastructure grows, common patterns can emerge in which you declare the same components in each of your templates. You can separate out these common components and create dedicated templates for them.
That way, you can mix and match different templates but use nested stacks to create a single, unified stack.
Nested stacks are stacks that create other stacks. To create nested stacks, use the AWS::CloudFormation::Stackresource in your template to reference other templates.
* Reuse Templates
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 practises, please visit the below URL:
* http://docs.aws.amazon.com/AWSCIoudFormation/latest/UserGuide/best-practices.
html

NEW QUESTION: 3
Eine Organisation wechselt zu agil und ein Projekt wurde als Pilotprojekt ausgewählt. Der zugewiesene Projektmanager hat nur Erfahrung mit prädiktiven Ansätzen. Der Projektmanager muss nun agile Ansätze mit Hilfe eines agilen Trainers verwenden. Während der Retrospektive des fünften Sprints Das Projektteam beschwert sich darüber, dass bei der Organisation viele Hindernisse bestehen, die zu Projektverzögerungen und Nacharbeiten führen. Was sollte der Projektmanager in dieser Situation tun?
A. Fügen Sie bei täglichen Standup-Meetings Hindernislösungen hinzu
B. Fördern Sie die Zusammenarbeit, um die Hindernisse für das Team zu beseitigen
C. Führen Sie während der Standup-Meetings eine Ursachenanalyse durch
D. Erstellen Sie einen speziellen Sprint, um die Hindernisse mit dem Team zu lösen
Answer: A

NEW QUESTION: 4
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You train a classification model by using a logistic regression algorithm.
You must be able to explain the model's predictions by calculating the importance of each feature, both as an overall global relative importance value and as a measure of local importance for a specific set of predictions.
You need to create an explainer that you can use to retrieve the required global and local feature importance values.
Solution: Create a TabularExplainer.
Does the solution meet the goal?
A. No
B. Yes
Answer: A
Explanation:
Explanation
Instead use Permutation Feature Importance Explainer (PFI).
Note 1:

Note 2: Permutation Feature Importance Explainer (PFI): Permutation Feature Importance is a technique used to explain classification and regression models. At a high level, the way it works is by randomly shuffling data one feature at a time for the entire dataset and calculating how much the performance metric of interest changes. The larger the change, the more important that feature is. PFI can explain the overall behavior of any underlying model but does not explain individual predictions.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-machine-learning-interpretability