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Associate-Cloud-Engineer Musterprüfungsfragen, Associate-Cloud-Engineer Simulationsfragen

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Die Google Associate Cloud Engineer -Zertifizierung ist ein wertvolles Gut für Fachkräfte, die ihre Karriereaussichten in der Cloud Computing -Branche verbessern möchten. Die Zertifizierung zeigt die Fähigkeit eines Kandidaten, Google Cloud-Plattform-Technologien zum Entwerfen, Entwickeln und Verwalten von Cloud-basierten Anwendungen zu verwenden. Die Zertifizierung bietet Einzelpersonen auch die Fähigkeiten und Kenntnisse, die erforderlich sind, um effektiv in einer Cloud -Computing -Umgebung zu arbeiten. Da immer mehr Unternehmen Cloud -Computing -Technologien einsetzen, wird die Nachfrage nach zertifizierten Google Associate Cloud -Ingenieuren wahrscheinlich zunehmen, was diese Zertifizierung zu einer wertvollen Investition für Personen, die eine Karriere im Cloud -Computing suchen, zu einer wertvollen Investition machen.

>> Associate-Cloud-Engineer Musterprüfungsfragen <<

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Google Associate Cloud Engineer Exam Associate-Cloud-Engineer Prüfungsfragen mit Lösungen (Q143-Q148):

143. Frage
You are building an application that processes data files uploaded from thousands of suppliers. Your primary goals for the application are data security and the expiration of aged data. You need to design the application to:
*Restrict access so that suppliers can access only their own data.
*Give suppliers write access to data only for 30 minutes.
*Delete data that is over 45 days old.
You have a very short development cycle, and you need to make sure that the application requires minimal maintenance. Which two strategies should you use? (Choose two.)

A. Build a lifecycle policy to delete Cloud Storage objects after 45 days.
B. Use signed URLs to allow suppliers limited time access to store their objects.
C. Set up an SFTP server for your application, and create a separate user for each supplier.
D. Develop a script that loops through all Cloud Storage buckets and deletes any buckets that are older than
45 days.
E. Build a Cloud function that triggers a timer of 45 days to delete objects that have expired.

Antwort: A,B

Begründung:
(A) Object Lifecycle Management
Delete
The Delete action deletes an object when the object meets all conditions specified in the lifecycle rule.
Exception: In buckets with Object Versioning enabled, deleting the live version of an object causes it to become a noncurrent version, while deleting a noncurrent version deletes that version permanently.
https://cloud.google.com/storage/docs/lifecycle#delete
(B) Signed URLs
This page provides an overview of signed URLs, which you use to give time-limited resource access to anyone in possession of the URL, regardless of whether they have a Google account
https://cloud.google.com/storage/docs/access-control/signed-urls

144. Frage
You need to reduce GCP service costs for a division of your company using the fewest possible steps. You need to turn off all configured services in an existing GCP project. What should you do?

A. 1. Verify that you are assigned the Organizational Administrators IAM role for this project.
2. Switch to the project in the GCP console, locate the resources and delete them.
B. 1. Verify that you are assigned the Project Owners IAM role for this project.
2. Switch to the project in the GCP console, locate the resources and delete them.
C. 1. Verify that you are assigned the Project Owners IAM role for this project.
2. Locate the project in the GCP console, click Shut down and then enter the project ID.
D. 1. Verify that you are assigned the Organizational Administrator IAM role for this project.
2. Locate the project in the GCP console, enter the project ID and then click Shut down.

Antwort: C

Begründung:
No need of giving Organization admin role for doing this.
If you have the project owner role, you can locate the project and shut it down.

145. Frage
You are using Data Studio to visualize a table from your data warehouse that is built on top of BigQuery. Data is appended to the data warehouse during the day. At night, the daily summary is recalculated by overwriting the table. You just noticed that the charts in Data Studio are broken, and you want to analyze the problem. What should you do?

A. In Cloud Logging create a filter for your Data Studio report
B. Review the Error Reporting page in the Cloud Console to find any errors.
C. Use the BigQuery interface to review the nightly Job and look for any errors
D. Use Cloud Debugger to find out why the data was not refreshed correctly

Antwort: D

Begründung:
Cloud Debugger helps inspect the state of an application, at any code location, without stopping or slowing down the running app // https://cloud.google.com/debugger/docs

146. Frage
You need to deploy an application, which is packaged in a container image, in a new project. The application exposes an HTTP endpoint and receives very few requests per day. You want to minimize costs. What should you do?

A. Deploy the container on App Engine Flexible.
B. Deploy the container on Cloud Run on GKE.
C. Deploy the container on Cloud Run.
D. Deploy the container on Google Kubernetes Engine, with cluster autoscaling and horizontal pod autoscaling enabled.

Antwort: C

Begründung:
Cloud Run takes any container images and pairs great with the container ecosystem: Cloud Build, Artifact Registry, Docker. ... No infrastructure to manage: once deployed, Cloud Run manages your services so you can sleep well. Fast autoscaling. Cloud Run automatically scales up or down from zero to N depending on traffic.
https://cloud.google.com/run

147. Frage
You are managing several Google Cloud Platform (GCP) projects and need access to all logs for the past 60 days. You want to be able to explore and quickly analyze the log contents. You want to follow Google- recommended practices to obtain the combined logs for all projects. What should you do?

A. Navigate to Stackdriver Logging and select resource.labels.project_id="*"
B. Create a Stackdriver Logging Export with a Sink destination to Cloud Storage. Create a lifecycle rule to delete objects after 60 days.
C. Configure a Cloud Scheduler job to read from Stackdriver and store the logs in BigQuery. Configure the table expiration to 60 days.
D. Create a Stackdriver Logging Export with a Sink destination to a BigQuery dataset. Configure the table expiration to 60 days.

Antwort: D

Begründung:
* Navigate to Stackdriver Logging and select resource.labels.project_id=*. is not right.
Log entries are held in Stackdriver Logging for a limited time known as the retention period which is 30 days (default configuration). After that, the entries are deleted. To keep log entries longer, you need to export them outside of Stackdriver Logging by configuring log sinks.
Ref: https://cloud.google.com/blog/products/gcp/best-practices-for-working-with-google-cloud-audit-logging
* Configure a Cloud Scheduler job to read from Stackdriver and store the logs in BigQuery. Configure the table expiration to 60 days. is not right.
While this works, it makes no sense to use Cloud Scheduler job to read from Stackdriver and store the logs in BigQuery when Google provides a feature (export sinks) that does exactly the same thing and works out of the box.Ref: https://cloud.google.com/logging/docs/export/configure_export_v2
* Create a Stackdriver Logging Export with a Sink destination to Cloud Storage. Create a lifecycle rule to delete objects after 60 days. is not right.
You can export logs by creating one or more sinks that include a logs query and an export destination.
Supported destinations for exported log entries are Cloud Storage, BigQuery, and Pub/Sub.Ref: https://cloud.google.com/logging/docs/export/configure_export_v2 Sinks are limited to exporting log entries from the exact resource in which the sink was created: a Google Cloud project, organization, folder, or billing account. If it makes it easier to exporting from all projects of an organication, you can create an aggregated sink that can export log entries from all the projects, folders, and billing accounts of a Google Cloud organization.Ref: https://cloud.google.com/logging/docs/export/aggregated_sinks Either way, we now have the data in Cloud Storage, but querying logs information from Cloud Storage is harder than Querying information from BigQuery dataset. For this reason, we should prefer Big Query over Cloud Storage.
* Create a Stackdriver Logging Export with a Sink destination to a BigQuery dataset. Configure the table expiration to 60 days. is the right answer.
You can export logs by creating one or more sinks that include a logs query and an export destination.
Supported destinations for exported log entries are Cloud Storage, BigQuery, and Pub/Sub.Ref: https://cloud.google.com/logging/docs/export/configure_export_v2 Sinks are limited to exporting log entries from the exact resource in which the sink was created: a Google Cloud project, organization, folder, or billing account. If it makes it easier to exporting from all projects of an organication, you can create an aggregated sink that can export log entries from all the projects, folders, and billing accounts of a Google Cloud organization.Ref: https://cloud.google.com/logging/docs/export/aggregated_sinks Either way, we now have the data in a BigQuery Dataset. Querying information from a Big Query dataset is easier and quicker than analyzing contents in Cloud Storage bucket. As our requirement is to Quickly analyze the log contents, we should prefer Big Query over Cloud Storage.
Also, You can control storage costs and optimize storage usage by setting the default table expiration for newly created tables in a dataset. If you set the property when the dataset is created, any table created in the dataset is deleted after the expiration period. If you set the property after the dataset is created, only new tables are deleted after the expiration period.For example, if you set the default table expiration to 7 days, older data is automatically deleted after 1 week.Ref: https://cloud.google.com/bigquery/docs/best-practices-storage

148. Frage
......

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Associate-Cloud-Engineer Simulationsfragen: https://www.pruefungfrage.de/Associate-Cloud-Engineer-dumps-deutsch.html

P.S. Kostenlose und neue Associate-Cloud-Engineer Prüfungsfragen sind auf Google Drive freigegeben von PrüfungFrage verfügbar: https://drive.google.com/open?id=1oh-Mb8qNeY1DQL78aLV_MI_PhEDCDuA6

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