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NEW QUESTION: 1
ユーザーの行動がアプリケーションに与える影響を理解するために、Azure Application Insightsを使用したいと考えています。
各動作を分析するためにどのアプリケーションInsightsツールを使用する必要がありますか？ 回答するには、適切なツールを正しい動作にドラッグします。 各ツールは、1回、複数回、またはまったく使用しないことができます。 コンテンツを表示するには、ペイン間の分割バーをドラッグするか、スクロールする必要があります。
注：それぞれ正しい選択は1ポイントの価値があります。

Answer:
Explanation:

Explanation:
Box 1: User Flows
The User Flows tool visualizes how users navigate between the pages and features of your site. It's great for answering questions like:
How do users navigate away from a page on your site?
What do users click on a page on your site?
Where are the places that users churn most from your site?
Are there places where users repeat the same action over and over?
Box 2: Users
Box 3: Impact
Reference:
https://docs.microsoft.com/en-us/azure/azure-monitor/app/usage-flows

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 Standard cluster for the data engineers, and a High Concurrency cluster for the jobs.
Does this meet the goal?
A. Yes
B. No
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
What needs to be configured before a SAP appears? (Choose 2)
A. Configuring the physical port in access mode.
B. Enabling the port using the no shutdown command.
C. Configuring the physical port in network mode.
D. Ports are enabled by default, thus no need to use the no shutdown command.
Answer: A,B