Associate-Cloud-Engineer Simulationsfragen, Associate-Cloud-Engineer Online Praxisprüfung

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Die Google Associate-Cloud-Engineer-Zertifizierungsprüfung ist ideal für Personen, die ihre Fähigkeiten und ihr Wissen im Cloud-Engineering validieren möchten. In dieser Zertifizierungsprüfung müssen Einzelpersonen ein grundlegendes Verständnis für Cloud -Computing- und GCP -Konzepte haben. Personen, die Erfahrung damit haben oder mit anderen Cloud -Plattformen zusammengearbeitet haben, ist jedoch möglicherweise die Navigation der Prüfung. Die Zertifizierungsprüfung besteht aus Multiple-Choice-Fragen und dauert zwei Stunden.

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Echte und neueste Associate-Cloud-Engineer Fragen und Antworten der Google Associate-Cloud-Engineer Zertifizierungsprüfung

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Google Associate Cloud Engineer Exam Associate-Cloud-Engineer Prüfungsfragen mit Lösungen (Q66-Q71):

66. Frage
You have a virtual machine that is currently configured with 2 vCPUs and 4 GB of memory. It is running out of memory. You want to upgrade the virtual machine to have 8 GB of memory. What should you do?

A. Stop the VM, increase the memory to 8 GB, and start the VM.
B. Rely on live migration to move the workload to a machine with more memory.
C. Use gcloud to add metadata to the VM. Set the key to required-memory-size and the value to 8 GB.
D. Stop the VM, change the machine type to n1-standard-8, and start the VM.

Antwort: A

Begründung:
In Google compute engine, if predefined machine types don't meet your needs, you can create an instance with custom virtualized hardware settings. Specifically, you can create an instance with a custom number of vCPUs and custom memory, effectively using a custom machine type. Custom machine types are ideal for the following scenarios: 1. Workloads that aren't a good fit for the predefined machine types that are available to you. 2. Workloads that require more processing power or more memory but don't need all of the upgrades that are provided by the next machine type level.In our scenario, we only need a memory upgrade. Moving to a bigger instance would also bump up the CPU which we don't need so we have to use a custom machine type.
It is not possible to change memory while the instance is running so you need to first stop the instance, change the memory and then start it again. See below a screenshot that shows how CPU/Memory can be customized for an instance that has been stopped.Ref: https://cloud.google.com/compute/docs/instances/creating-instance-with-custom-machine-type

67. Frage
You are working with a Cloud SQL MySQL database at your company. You need to retain a month-end copy of the database for three years for audit purposes. What should you do?

A. Convert the automatic first-of-the-month backup to an export file. Write the export file to a Coldline class Cloud Storage bucket.
B. Set up an on-demand backup for the first of the month. Write the backup to an Archive class Cloud Storage bucket.
C. Save the automatic first-of-the-month backup for three years. Store the backup file in an Archive class Cloud Storage bucket.
D. Set up an export job for the first of the month. Write the export file to an Archive class Cloud Storage bucket.

Antwort: C

68. Frage
You have downloaded and installed the gcloud command line interface (CLI) and have authenticated with your Google Account. Most of your Compute Engine instances in your project run in the europe-west1-d zone.
You want to avoid having to specify this zone with each CLI command when managing these instances. What should you do?

A. In the Settings page for Compute Engine under Default location, set the zone to europe-west1-d.
B. Create a Metadata entry on the Compute Engine page with key compute/zone and value europe-west1-d.
C. Set the europe-west1-d zone as the default zone using the gcloud config subcommand.
D. In the CLI installation directory, create a file called default.conf containing zone=europe-west1-d.

Antwort: C

Begründung:
Explanation
Change your default zone and region in the metadata server Note: This only applies to the default configuration. You can change the default zone and region in your metadata server by making a request to the metadata server. For example: gcloud compute project-info add-metadata \ --metadata google-compute-default-region=europe-west1,google-compute-default-zone=europe-west1-b The gcloud command-line tool only picks up on new default zone and region changes after you rerun the gcloud init command. After updating your default metadata, run gcloud init to reinitialize your default configuration.
https://cloud.google.com/compute/docs/gcloud-compute#change_your_default_zone_and_region_in_the_metada

69. Frage
Your customer wants you to create a secure website with autoscaling based on the compute instance CPU load. You want to enhance performance by storing static content in Cloud Storage. Which resources are needed to distribute the user traffic?

A. An external network load balancer pointing to the backend instances to distribute the load evenly. The web servers will forward the request to the Cloud Storage as needed.
B. An external HTTP(S) load balancer with a managed SSL certificate to distribute the load and a URL map to target the requests for the static content to the Cloud Storage backend.
C. An external HTTP(S) load balancer to distribute the load and a URL map to target the requests for the static content to the Cloud Storage backend. Install the HTTPS certificates on the instance.
D. An internal HTTP(S) load balancer together with Identity-Aware Proxy to allow only HTTPS traffic.

Antwort: B

Begründung:
An external HTTP(S) load balancer is a Google-recommended solution for distributing web traffic across multiple regions and zones, and providing high availability, scalability, and security for web applications. It supports both IPv4 and IPv6 addresses, and can handle SSL/TLS termination and encryption. It also integrates with Cloud CDN, Cloud Armor, and Cloud Identity-Aware Proxy for enhanced performance and protection.
A managed instance group (MIG) can be used as a backend service for the HTTP(S) load balancer, and can automatically scale the number of VM instances based on the CPU load. A Cloud Storage bucket can also be used as a backend service for the HTTP(S) load balancer, and can serve static content such as images, videos, or HTML files. A URL map can be used to route requests to different backend services based on the path or host of the request. For example, a URL map can send requests for /static/* to the Cloud Storage bucket, and requests for /dynamic/* to the MIG. A managed SSL certificate can be used to secure the connection between the clients and the load balancer, and can be automatically provisioned and renewed by Google.
A is incorrect because an internal HTTP(S) load balancer is only visible within a VPC network, and not to the public internet. It is used for internal applications that need to communicate with other internal services.
Identity-Aware Proxy is a service that provides secure access to web applications without using a VPN. It is not a load balancer, and it does not distribute user traffic.
B is incorrect because installing HTTPS certificates on the instance is not necessary, as the HTTP(S) load balancer can handle SSL/TLS termination and encryption. It is also more complex and less secure to manage the certificates on the instance level, as they need to be updated and synchronized across multiple instances.
D is incorrect because an external network load balancer is a TCP/UDP load balancer that operates at the network layer. It is not suitable for web applications that use HTTP(S) protocols, as it does not support SSL
/TLS termination and encryption, URL maps, or Cloud Storage backends. It is also less efficient and scalable to forward the requests to the Cloud Storage from the web servers, as it adds an extra hop and latency.
References:
* HTTP(S) Load Balancing documentation
* Setting up HTTP(S) Load Balancing with Cloud Storage
* Creating and using SSL certificates
* Choosing a load balancer

70. Frage
You are configuring service accounts for an application that spans multiple projects. Virtual machines (VMs) running in the web-applications project need access to BigQuery datasets in crm-databases-proj. You want to follow Google-recommended practices to give access to the service account in the web-applications project. What should you do?

A. Give "project owner" role to crm-databases-proj and bigquery.dataViewer role to web-applications.
B. Give bigquery.dataViewer role to crm-databases-proj and appropriate roles to web-applications.
C. Give "project owner" for web-applications appropriate roles to crm-databases- proj
D. Give "project owner" role to crm-databases-proj and the web-applications project.

Antwort: B

Begründung:
Reference:
bigquery.dataViewer role provides permissions to read the datasets metadata and list tables in the dataset as well as Read data and metadata from the datasets tables. This is exactly what we need to fulfil this requirement and follows the least privilege principle.
Ref: https://cloud.google.com/iam/docs/understanding-roles#bigquery-roles

71. Frage
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