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NEW QUESTION: 1
For which of the following options do you need to install and configure SAProuter?
(Choose two.)
A. Connection
to http://help.sap.com.
B. Remote Consulting from SAP
C. Create a support message in case of problems with the SAP system
D. EarlyWatch session done remotely by an employee of SAP
Answer: B,D

NEW QUESTION: 2

A. Option C
B. Option D
C. Option A
D. Option E
E. Option B
Answer: B,C,D
Explanation:
Ref: http://technet.microsoft.com/ENUS/LIBRARY/hh699818(v=crm.6).ASPX

NEW QUESTION: 3
The network-attached storage (NAS) device is a file server running on a dedicated device connected to the network.
Which of the following are the advantages of the NAS device? Each correct answer represents a complete solution. Choose all that apply.
A. It permits the addition of more hard disk storage space to a network without shutting them down for maintenance and upgrades.
B. It is used when computer systems are retired and disk drives are required to be zeroed out.
C. It enables the Windows, UNIX/Linux, and MacOS to use the same storage and to access the shared data.
D. It is easy to install, configure, and manage by using a web browser.
Answer: A,C,D
Explanation:
Explanation/Reference:
Explanation:
The network-attached storage (NAS) device is a server used for file sharing. It is a file server running on a dedicated device connected to the network. These types of devices are based on Linux or UNIX derivatives.
Various advantages of the NAS device are as follows:
It is easy to install, configure, and manage by using a web browser.

It enables the Windows, UNIX/Linux, and MacOS to use the same storage and to access the shared

data.
It does not require to be located within the server but can be placed anywhere in LAN.

It permits the addition of more hard disk storage space to a network without shutting them down for

maintenance and upgrades.
Incorrect Answers:
C: Hard drive wiping is a degaussing process that applies a strong magnetic field for the purpose of initializing the media. It is used to remove data from the hard drive permanently. It is used when computer systems are retired and disk drives are required to be zeroed out.

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 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 High Concurrency cluster for each data scientist, a High Concurrency cluster for the data engineers, and a Standard cluster for the jobs.
Does this meet the goal?
A. No
B. Yes
Answer: A
Explanation:
No need for a High Concurrency cluster for each data scientist.
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