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NEW QUESTION: 1
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 scenario, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You plan to create an Azure Databricks workspace that has a tiered structure. The workspace will contain the following three workloads:
* A workload for data engineers who will use Python and SQL
* A workload for jobs that will run notebooks that use Python, Spark, Scala, and SQL
* A workload that data scientists will use to perform ad hoc analysis in Scala and R The enterprise architecture team at your company identifies the following standards for Databricks environments:
* The data engineers must share a cluster.
* The job cluster will be managed by using a request process whereby data scientists and data engineers provide packaged notebooks for deployment to the cluster.
* All the data scientists must be assigned their own cluster that terminates automatically after 120 minutes of inactivity. Currently, there are three data scientists.
You need to create the Databrick clusters for the workloads.
Solution: You create a Standard cluster for each data scientist, a High Concurrency cluster for the data engineers, and a High Concurrency cluster for the jobs.
Does this meet the goal?
A. Yes
B. No
Answer: A
Explanation:
Explanation
We need a High Concurrency cluster for the data engineers and the jobs.
Note:
Standard clusters are recommended for a single user. Standard can run workloads developed in any language:
Python, R, Scala, and SQL.
A high concurrency cluster is a managed cloud resource. The key benefits of high concurrency clusters are that they provide Apache Spark-native fine-grained sharing for maximum resource utilization and minimum query latencies.
References:
https://docs.azuredatabricks.net/clusters/configure.html

NEW QUESTION: 2
A company named Contoso, Ltd- has an Azure Active Directory {Azure AD) tenant that uses the Basic license.
You plan to deploy two applications to Azure. The applications have the requirements shown in the following table.

Which authentication strategy should you recommend for each application? To answer, drag the appropriate authentication strategies to the correct applications. Each authentication strategy may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Reference:
https://docs.microsoft.com/en-us/azure/active-directory-b2c/active-directory-b2c-reference-mfa
https://docs.microsoft.com/en-us/azure/active-directory/develop/v2-overview

NEW QUESTION: 3
You are the VMware consultant for you company. You have been asked to help plan for anticipated storage needs over the next 18 months. Which solution will help you plan?
A. vCenter Server
B. vCenter Operations Manager for View
C. Horizon Workspace
D. vCenter Configuration Manager
Answer: D

NEW QUESTION: 4
You have created a subnet named subnetace1 with 16,382 addresses using 192.168.0.0. Later you realize that you won't require too many addresses, and so you want to reduce addresses to
254. Which of the following command would you use?
A. gcloud compute networks subnets expand-ip-range subnetace1 --size=248
B. gcloud compute networks subnets expand-ip-range subnetace1 --prefix-length=-12
C. gcloud compute networks subnets expand-ip-range subnetace1 --prefix-length=28
D. There is no command in google cloud to reduce the number of available addresses in a subnet.
Answer: D