Google Professional-Cloud-Developer問題集無料、Professional-Cloud-Developerソフトウエア

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試験は複数選択肢の問題から構成され、英語と日本語の両方で利用可能です。どこからでもオンラインで、いつでも受験することができます。受験料は200ドルで、認定は2年間有効です。Googleは、受験前に少なくとも3年間の業界経験を持つことを推奨しています。認定は、同僚や潜在的雇用主からの認識、Googleのコミュニティへのアクセス、キャリアアップの機会など多くの利点があります。

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Google Professional-Cloud-Developer（Google Certified Professional-Cloud Developer）認定試験は、Google Cloud Platform（GCP）でアプリケーションの開発と展開における個人の知識とスキルをテストするように設計されています。この試験は、Google App Engine、Google Cloud Functions、Google Cloud StorageなどのGCPサービスを使用して、クラウドベースのアプリケーションの構築と展開を経験している開発者を対象としています。この認定は、開発者がGCPツールとサービスを使用してアプリケーションを設計、開発、展開、および管理するために必要な知識とスキルを持っていることを検証します。

Google Certified Professional - Cloud Developerになるには、候補者はGoogle Professional-Cloud-Developer試験に合格する必要があります。この認定は、Google Cloudによって、個人のクラウド開発に関するスキルと知識の検証として認められています。この認定は、個人が潜在的な雇用者やクライアントに自分の専門知識を証明することによって、キャリアを進めるのに役立ちます。

Google Certified Professional - Cloud Developer 認定 Professional-Cloud-Developer 試験問題 (Q202-Q207):

質問 # 202
Your company uses Cloud Logging to manage large volumes of log data. You need to build a real-time log analysis architecture that pushes logs to a third-party application for processing. What should you do?

A. Create a Cloud Logging log export to Cloud Storage.
B. Create a Cloud Function to read Cloud Logging log entries and send them to the third-party application.
C. Create a Cloud Logging log export to BigQuery.
D. Create a Cloud Logging log export to Pub/Sub.

正解：D

質問 # 203
You want to create "fully baked" or "golden" Compute Engine images for your application. You need to bootstrap your application to connect to the appropriate database according to the environment the application is running on (test, staging, production). What should you do?

A. Embed the appropriate database connection string in the image. Create a different image for each environment.
B. When creating the Compute Engine instance, create a metadata item with a key of "DATABASE" and a value for the appropriate database connection string. In your application, query the metadata server for the "DATABASE" value, and use the value to connect to the appropriate database.
C. When creating the Compute Engine instance, create a metadata item with a key of "DATABASE" and a value for the appropriate database connection string. In your application, read the "DATABASE" environment variable, and use the value to connect to the appropriate database.
D. When creating the Compute Engine instance, add a tag with the name of the database to be connected.
In your application, query the Compute Engine API to pull the tags for the current instance, and use the tag to construct the appropriate database connection string.

正解：B

質問 # 204
HipLocal's.net-based auth service fails under intermittent load.
What should they do?

A. Use App Engine for autoscaling.
B. Use a Compute Engine cluster for the service.
C. Use a dedicated Compute Engine virtual machine instance for the service.
D. Use Cloud Functions for autoscaling.

正解：C

解説：
Reference: https://www.qwiklabs.com/focuses/611?parent=catalog

質問 # 205
Laura is performing a visual inspection of an embedded battery. What kinds of cosmetic issues should she look for? (Choose two.)

A. UPC Code
B. Apple logo
C. Apple product serial number
D. IATA complice label
E. Scratches
F. Dents or dot imprints
G. QR Code

正解：E、F

解説：
Explanation/Reference: https://docplayer.net/50514766-Embedded-battery-safety.html

質問 # 206
Case Study 1 - HipLocal
Company Overview
HipLocal is a community application designed to facilitate communication between people in close proximity. It is used for event planning and organizing sporting events, and for businesses to connect with their local communities. HipLocal launched recently in a few neighborhoods in Dallas and is rapidly growing into a global phenomenon. Its unique style of hyper-local community communication and business outreach is in demand around the world.
Executive Statement
We are the number one local community app; it's time to take our local community services global. Our venture capital investors want to see rapid growth and the same great experience for new local and virtual communities that come online, whether their members are 10 or 10000 miles away from each other.
Solution Concept
HipLocal wants to expand their existing service, with updated functionality, in new regions to better serve their global customers. They want to hire and train a new team to support these regions in their time zones. They will need to ensure that the application scales smoothly and provides clear uptime data.
Existing Technical Environment
HipLocal's environment is a mix of on-premises hardware and infrastructure running in Google Cloud Platform. The HipLocal team understands their application well, but has limited experience in global scale applications. Their existing technical environment is as follows:
* Existing APIs run on Compute Engine virtual machine instances hosted in GCP.
* State is stored in a single instance MySQL database in GCP.
* Data is exported to an on-premises Teradata/Vertica data warehouse.
* Data analytics is performed in an on-premises Hadoop environment.
* The application has no logging.
* There are basic indicators of uptime; alerts are frequently fired when the APIs are unresponsive.
Business Requirements
HipLocal's investors want to expand their footprint and support the increase in demand they are seeing. Their requirements are:
* Expand availability of the application to new regions.
* Increase the number of concurrent users that can be supported.
* Ensure a consistent experience for users when they travel to different regions.
* Obtain user activity metrics to better understand how to monetize their product.
* Ensure compliance with regulations in the new regions (for example, GDPR).
* Reduce infrastructure management time and cost.
* Adopt the Google-recommended practices for cloud computing.
Technical Requirements
* The application and backend must provide usage metrics and monitoring.
* APIs require strong authentication and authorization.
* Logging must be increased, and data should be stored in a cloud analytics platform.
* Move to serverless architecture to facilitate elastic scaling.
* Provide authorized access to internal apps in a secure manner.
HipLocal wants to reduce the number of on-call engineers and eliminate manual scaling.
Which two services should they choose? (Choose two.)

A. Use serverless Google Cloud Functions.
B. Use Google Kubernetes Engine for automated deployments.
C. Use a large Google Compute Engine cluster for deployments.
D. Use Google App Engine services.
E. Use Knative to build and deploy serverless applications.

正解：B、E

解説：
https://cloud.google.com/kubernetes-engine/docs/concepts/traffic-management

質問 # 207
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