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NEW QUESTION: 1
HOTSPOT


Answer:
Explanation:

Explanation:

Number of DMP servers: 1
Centralize the management of all backups.
Number of Azure backup vaults: 2
References: https://docs.microsoft.com/en-us/azure/backup/backup-azure-dpm- introduction

NEW QUESTION: 2
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. No
B. Yes
Answer: B
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: 3
Several applications in an organization use a common Java library, common.jar. Two applications App1 and App2 have their own shared libraries shlib1.jar and shlib2.jar that reference common.jar. Which deployment method allows for the most reuse of the Java
Library?
A. Deploy all the jar files as static libraries.
B. Deploy all the jar files as part of the applications.
C. shlib1.jar and shlib2.jar must now be deployed as static libraries and common.jar as a shared library.
D. common.jar deployed as a shared library along with the shlib1.jar and shlib2.jar as shared libraries.
Answer: A

NEW QUESTION: 4
You are the project manager for GHY Project and are working to create a risk response for a negative risk. You and the project team have identified the risk that the project may not complete on time, as required by the management, due to the creation of the user guide for the software you're creating. You have elected to hire an external writer in order to satisfy the requirements and to alleviate the risk event. What type of risk response have you elected to use in this instance?
A. Exploiting
B. Avoidance
C. Sharing
D. Transference
Answer: D