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Google Associate-Cloud-Engineer Exam Syllabus Topics:

Section	Weight	Objectives
Configuring access and security	15%	- Securing data and services - Managing IAM roles and permissions
Ensuring successful operation of a cloud solution	20%	- Monitoring and logging - Managing cloud resources
Setting up a cloud solution environment	20%	- Managing billing and identity access - Setting up cloud projects and accounts
Planning and configuring a cloud solution	25%	- Configuring compute resources - Configuring storage and database solutions
Deploying and implementing a cloud solution	20%	- Deploying applications and services - Implementing networking components

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Google Associate Cloud Engineer Exam Sample Questions (Q29-Q34):

NEW QUESTION # 29
Your organization uses G Suite for communication and collaboration. All users in your organization have a G Suite account. You want to grant some G Suite users access to your Cloud Platform project. What should you do?

A. Create a CSV sheet with all users' email addresses. Use the gcloud command line tool to convert them into Google Cloud Platform accounts.
B. Grant them the required IAM roles using their G Suite email address.
C. In the G Suite console, add the users to a special group called cloud-console- users@yourdomain.com. Rely on the default behavior of the Cloud Platform to grant users access if they are members of this group.
D. Enable Cloud Identity in the GCP Console for your domain.

Answer: B

Explanation:
https://cloud.google.com/resource-manager/docs/creating-managing-organization

NEW QUESTION # 30
You have 32 GB of data in a single file that you need to upload to a Nearline Storage bucket. The WAN connection you are using is rated at 1 Gbps, and you are the only one on the connection. You want to use as much of the rated 1 Gbps as possible to transfer the file rapidly. How should you upload the file?

A. Use the GCP Console to transfer the file instead of gsutil.
B. Enable parallel composite uploads using gsutil on the file transfer.
C. Change the storage class of the bucket from Nearline to Multi-Regional.
D. Decrease the TCP window size on the machine initiating the transfer.

Answer: B

Explanation:
Explanation
https://cloud.google.com/storage/docs/parallel-composite-uploads
https://cloud.google.com/storage/docs/uploads-downloads#parallel-composite-uploads

NEW QUESTION # 31
For analysis purposes, you need to send all the logs from all of your Compute Engine instances to a BigQuery dataset called platform-logs. You have already installed the Stackdriver Logging agent on all the instances.
You want to minimize cost. What should you do?

A. 1. Create a Cloud Function that has the BigQuery User role on the platform-logs dataset.2. Configure this Cloud Function to create a BigQuery Job that executes this query:INSERT INTO dataset.platform-logs (timestamp, log)SELECT timestamp, log FROM compute.logsWHERE timestamp
> DATE_SUB(CURRENT_DATE(), INTERVAL 1 DAY)3. Use Cloud Scheduler to trigger this Cloud Function once a day.
B. 1. In Stackdriver Logging, create a filter to view only Compute Engine logs.2. Click Create Export.3.
Choose BigQuery as Sink Service, and the platform-logs dataset as Sink Destination.
C. 1. Give the BigQuery Data Editor role on the platform-logs dataset to the service accounts used by your instances.2. Update your instances' metadata to add the following value: logs-destination:
bq://platform-logs.
D. 1. In Stackdriver Logging, create a logs export with a Cloud Pub/Sub topic called logs as a sink.2.
Create a Cloud Function that is triggered by messages in the logs topic.3. Configure that Cloud Function to drop logs that are not from Compute Engine and to insert Compute Engine logs in the platform-logs dataset.

Answer: B

Explanation:
1. In Stackdriver Logging, create a filter to view only Compute Engine logs. 2. Click Create Export. 3. Choose BigQuery as Sink Service, and the platform-logs dataset as Sink Destination.

NEW QUESTION # 32
Your company has embraced a hybrid cloud strategy where some of the applications are deployed on Google Cloud. A Virtual Private Network (VPN) tunnel connects your Virtual Private Cloud (VPC) in Google Cloud with your company's on-premises network. Multiple applications in Google Cloud need to connect to an on-premises database server, and you want to avoid having to change the IP configuration in all of your applications when the IP of the database changes.
What should you do?

A. Create a private zone on Cloud DNS, and configure the applications with the DNS name.
B. Configure the IP of the database as custom metadata for each instance,
C. Query the Compute Engine internal DNS from the applications to retrieve the IP of the database.
D. Configure Cloud NAT for all subnets of your VPC to be used when egressing from the VM instances.

Answer: A

Explanation:
Cloud DNS offers DNS forwarding zones and DNS server policies to allow lookups of DNS names between your on-premises and Google Cloud environment. You have multiple options for configuring DNS forwarding. The following section lists best practices for hybrid DNS setup.
These best practices are illustrated in the Reference architectures for hybrid DNS.
https://cloud.google.com/dns/docs/best-
practices#best_practices_for_dns_forwarding_zones_and_server_policies

NEW QUESTION # 33
You work for a financial services company that operates as a stock market broker. Your company is planning to migrate to Google Cloud. You need to plan the network design in Google Cloud. Your design must:
* Minimize the latency between all production systems
* Minimize costs related to your development environmentWhat should you do?
Minimize costs related to your development environmentWhat should you do?

A. Create a VPC in the Standard Tier and deploy both production and development workloads on this VPC.
B. Create a VPC in the Premium Tier and deploy both production and development workloads on this VPC.
C. Create a VPC in the Standard Tier and one in the Premium Tier. Deploy production workloads in the Standard Tier and development workloads in the Premium Tier.
D. Create a VPC in the Standard Tier and one in the Premium Tier. Deploy development workloads in the Standard Tier and production workloads in the Premium Tier.

Answer: D

Explanation:
Google Cloud offers two network service tiers: Premium and Standard.
* Premium Tier: Uses Google's global, low-latency, and highly reliable backbone for most of the traffic's route, resulting in minimal latency. This is essential for latency-sensitive financial production systems.
* Standard Tier: Uses Google's network for part of the route and then public ISPs. It offers a lower cost compared to Premium Tier but potentially higher latency. This is suitable for non-critical, cost-sensitive development workloads.
The optimal design is to use two separate VPCs (or at least different networking setups if using Shared VPC), with the Premium Tier for production (minimizing latency) and the Standard Tier for development (minimizing cost).
Reference: Google Cloud Network Service Tiers documentation. "Premium Tier provides the best performance and availability... Standard Tier is a lower-cost option."

NEW QUESTION # 34
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