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NEW QUESTION: 1
ユニットテストを含む完全なMicrosoft .NET Frameworkソリューションを開発しています。
ビルドパイプラインの一部としてC＃コードのコード品質検証を実行するようにSonarQubeを構成する必要があります。
次の4つのタスクを順番に実行する必要がありますか？解答するには、適切なタスクをタスクリストから解答領域に移動し、正しい順序に並べます。

Answer:
Explanation:

Explanation

Step 1: Prepare Analysis Configuration
Prepare Analysis Configuration task, to configure all the required settings before executing the build.
This task is mandatory.
In case of .NET solutions or Java projects, it helps to integrate seamlessly with MSBuild, Maven and Gradle tasks.
Step 2: Visual Studio Build
Reorder the tasks to respect the following order:
Prepare Analysis Configuration task before any MSBuild or Visual Studio Build task.
Step 3: Visual Studio Test
Reorder the tasks to respect the following order:
Run Code Analysis task after the Visual Studio Test task.
Step 4: Run Code Analysis
Run Code Analysis task, to actually execute the analysis of the source code.
This task is not required for Maven or Gradle projects, because scanner will be run as part of the Maven/Gradle build.
Note:

References:
https://docs.sonarqube.org/display/SCAN/Analyzing+with+SonarQube+Extension+for+VSTS-TFS

NEW QUESTION: 2
For this question, refer to the TerramEarth case study.
TerramEarth's 20 million vehicles are scattered around the world. Based on the vehicle's location its telemetry data is stored in a Google Cloud Storage (GCS) regional bucket (US.
Europe, or Asia). The CTO has asked you to run a report on the raw telemetry data to determine why vehicles are breaking down after 100 K miles. You want to run this job on all the data. What is the most cost-effective way to run this job?
A. Launch a cluster in each region to preprocess and compress the raw data, then move the data into a multi region bucket and use a Dataproc cluster to finish the job.
B. Move all the data into 1 region, then launch a Google Cloud Dataproc cluster to run the job.
C. Launch a cluster in each region to preprocess and compress the raw data, then move the data into a regional bucket and use a Cloud Dataproc cluster .....
D. Move all the data into 1 zone, then launch a Cloud Dataproc cluster to run the job.
Answer: C

NEW QUESTION: 3
Welche der folgenden Optionen erklären, warum es häufig von Vorteil ist, eine unabhängige Testfunktion in einer Organisation zu haben?
A. Zur Verbesserung der Fehlersuche bei Überprüfungen und Tests
B. Um sicherzustellen, dass Entwickler Kodierungsstandards einhalten
C. Bessere Metriken für die Stakeholder
D. Um die Kommunikation zwischen Entwicklern und Testern einzuschränken
Answer: C

NEW QUESTION: 4
An organization creates and deploys a multi-class image classification deep learning model that uses a set of labeled photographs.
The software engineering team reports there is a heavy inferencing load for the prediction web services during the summer. The production web service for the model fails to meet demand despite having a fully-utilized compute cluster where the web service is deployed.
You need to improve performance of the image classification web service with minimal downtime and minimal administrative effort.
What should you advise the IT Operations team to do?
A. Increase the minimum node count of the compute cluster where the web service is deployed.
B. Increase the VM size of nodes in the compute cluster where the web service is deployed.
C. Increase the node count of the compute cluster where the web service is deployed.
D. Create a new compute cluster by using larger VM sizes for the nodes, redeploy the web service to that cluster, and update the DNS registration for the service endpoint to point to the new cluster.
Answer: C