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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 High Concurrency cluster for each data scientist, a High Concurrency cluster for the data engineers, and a Standard cluster for the jobs.
これは目標を達成していますか？
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
NEW QUESTION: 2
The number of focus areas describing a certain governance topic or issue that can be addressed by governance objectives is:
A. virtually unlimited
B. determined by the size of the enterprise
C. dependent on process maturity
Answer: B
NEW QUESTION: 3
Your data team is working on some new machine learning models. They're generating several files per day that they want to store in a regional bucket. They mostly focus on the files from the last week. However, they want to keep all the files just to base safe. With the fewest steps possible, what's the best way to lower the storage costs?
A. Create a lifecycle policy to switch the objects older than a week to coldline storage.
B. Create a Cloud Function triggered when objects are added to a bucket. Look at the date on all the files and move it to nearline storage if it's older than a week.
C. Create a lifecycle policy to switch the objects older than a week to nearline storage.
D. Create a Cloud Function triggered when objects are added to a bucket. Look at the date on all the files and move it to coldline storage if it's older than a week.
Answer: C