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NEW QUESTION: 1
You are designing a cloud-native historical data processing system to meet the following conditions:
The data being analyzed is in CSV, Avro, and PDF formats and will be accessed by multiple analysis

tools including Cloud Dataproc, BigQuery, and Compute Engine.
A streaming data pipeline stores new data daily.

Peformance is not a factor in the solution.

The solution design should maximize availability.

How should you design data storage for this solution?
A. Create a Cloud Dataproc cluster with high availability. Store the data in HDFS, and peform analysis as needed.
B. Store the data in BigQuery. Access the data using the BigQuery Connector or Cloud Dataproc and Compute Engine.
C. Store the data in a regional Cloud Storage bucket. Aceess the bucket directly using Cloud Dataproc, BigQuery, and Compute Engine.
D. Store the data in a multi-regional Cloud Storage bucket. Access the data directly using Cloud Dataproc, BigQuery, and Compute Engine.
Answer: C

NEW QUESTION: 2

data work.passengers;
if OrigPassengers = . then'
OrigPassengers = 100;
TransPassengers = 100;
OrigPassengers = .;
TotalPassengers = sum (OrigPassengers, TransPassengers) +0;
run;

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

NEW QUESTION: 3
Drag and drop the networking features or functions from the left onto the planes on which they operate on the right .

Answer:
Explanation:

Explanation

NEW QUESTION: 4
You currently use JIRA, Jenkins, and Octopus as part of your DevOps processes.
You plan to use Azure DevOps to replace these tools.
Which Azure DevOps service should you use to replace each tool? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

JIRA: Release pipelines
Atlassian's Jira Software is a popular application that helps teams to plan, track, and manage software releases, whereas Octopus Deploy helps teams automate their development and operations processes in a fast, repeatable, and reliable manner. Together, they enable teams to get better end-to-end visibility into their software pipelines from idea to production.
Jenkins: Repos
One way to integrate Jenkins with Azure Pipelines is to run CI jobs in Jenkins separately. This involves configuration of a CI pipeline in Jenkins and a web hook in Azure DevOps that invokes the CI process when source code is pushed to a repository or a branch.
Octopus: Build pipelines
References:
https://octopus.com/blog/octopus-jira-integration
https://www.azuredevopslabs.com/labs/vstsextend/jenkins/