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NEW QUESTION: 1
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. Use the AWS CloudFormation ValidateTemplate call before publishing changes to AWS.
B. Model your stack in one template, so you can leverage CloudFormation's state management and dependency resolution to propagate all changes.
C. Use CloudFormation to create brand new infrastructure for all stateless resources on each push, and run integration tests on that set of infrastructure.
D. Parametrize the template and use Mappings to ensure your template works in multiple Regions.
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: 2
On January 2, 1993, Quo, Inc. hired Reed to be its controller. During the year, Reed, working closely with
Quo's president and outside accountants, made changes in accounting policies, corrected several errors
dating from 1992 and before, and instituted new accounting policies.
Quo's 1993 financial statements will be presented in comparative form with its 1992 financial statements.
This question represents one of Quo's transactions. List A represents possible clarifications of these
transactions as: a change in accounting principle, a change in accounting estimate, a correction of an
error in previously presented financial statements, or neither an accounting change nor an accounting
error.
Item to Be Answered
Quo changed from LIFO to FIFO to account for its finished goods inventory.
List A (Select one)
A. Change in accounting principal.
B. Change in accounting estimate.
C. Neither an accounting change nor an accounting error.
D. Correction of an error in previously presented financial statements.
Answer: A
Explanation:
Choice "a" is correct. Change from LIFO to FIFO is a change in accounting principle.

NEW QUESTION: 3

A. Option A
B. Option B
C. Option D
D. Option C
Answer: B

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 sections, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are working on an Azure Machine Learning experiment.
You have the dataset configured as shown in the following table.

You need to ensure that you can compare the performance of the models and add annotations to the results.
Solution: You connect the Score Model modules from each trained model as inputs for the Evaluate Model module, and use the Execute R Script module.
Does this meet the goal?
A. Yes
B. No
Answer: A
Explanation:
Explanation
References:
https://msdn.microsoft.com/en-us/library/azure/dn905915.aspx