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NEW QUESTION: 1
Where do you configure service levels in SAP Coud for Service?
There are 2 correct answers to this question.
Response:
A. In Scoping
B. In Fine-Tuning
C. In Administrator Work Center
D. In the Service Control Center
Answer: A,C
NEW QUESTION: 2
OWD of account is public read/write. While creating which of the following, more restrictive values (like public read-only) will be available for sharing?
i. Sharing rule on Account
ii.
Manual sharing rule on any specific account record.
A. Both i and ii
B. Only ii
C. Neither i nor ii
D. Only i
Answer: D
NEW QUESTION: 3
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. Yes
B. No
Answer: B
Explanation:
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
NEW QUESTION: 4
Of the following types of data, which one is NOT required to be reported for each application for an originated loan subject to Regulation C?
A. Race, ethnicity, and sex of the applicant
B. The interest rate on the loan
C. Type of action taken and the date
D. Purpose of the loan
Answer: B