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NEW QUESTION: 1
以下のアクセスリストを参照してください。
access-list 100 permit ip任意のログ
シスコ製ルータにアクセスリストを適用した後、ネットワークエンジニアは、ルータのCPU使用率が99％に上昇したことに気付きました。
その理由は何ですか？
A. access-listと「log」キーワードが一致するパケットは、シスコエクスプレスフォワーディングスイッチドです。
B. access-listと "log"キーワードが一致するパケットが高速スイッチングされます。
C. access-listと "log"キーワードが一致するパケットがプロセス交換されます。
D. ルーターで大量のIPトラフィックが許可されています。
Answer: C

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 section, 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, Scala, and SOL.
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 Databricks clusters for the workloads.
Solution: You create a Standard 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:
We would need a High Concurrency cluster for 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.
Reference:
https://docs.azuredatabricks.net/clusters/configure.html

NEW QUESTION: 3
あなたの会社は別の会社と合併することを計画しています。
Debra Bergerという名前のユーザーが会社の幹部です。
合併という単語を含むAlex Wilberという名前のユーザーのすべての電子メールコンテンツをDebra Bergerに提供する必要があります。
このタスクを完了するには、Microsoft 365ポータルにサインインします。
Answer:
Explanation:
See explanation below.
Explanation
You need to run a content search then export the results of the search.
* Go to the Microsoft 365 Compliance admin center.
* Navigate to Content Search section in the left navigation pane.
* Click on + New Search to create a new search.
* In the Keywords box, type in 'merger'.
* In the Locations section, select link.
* Click on the Choose users, groups or teams
* Type Alex Wilber in the search field the select his account from the search results.
* Click the Choose button to add the user then click
* Click Save to close the locations pane.
* Click Save & run to run the search.
* The next step is to export the results. Select the search then under Export results to a computer, click Start export.
* On the Export the search results page, under Output options, select All items.
* Under Export Exchange content as, select One PST file for each mailbox.
* Click on Start export. When the export has finished, there will be an option to download the exported PST file.
Reference:
https://docs.microsoft.com/en-us/microsoft-365/compliance/content-search?view=o365-worldwide
https://docs.microsoft.com/en-us/microsoft-365/compliance/export-search-results?view=o365-worldwide

NEW QUESTION: 4
ネットワークの変更後、アプリケーションサーバーは対応するAmazon RDS MySQLデータベースに接続できません。
SysOps管理者は何を分析する必要がありますか？
A. Elastic Load Balancing logs
B. Amazon CloudFront logs
C. Amazon RDS MySQL error logs
D. VPC Flow Logs
Answer: D
Explanation:
Explanation
Reference https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/CHAP_Troubleshooting.html