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| Section | Weight | Objectives |
|---|---|---|
| Setting Up a Cloud Solution Environment | 20-25% | - Managing billing configuration
|
| Planning and Configuring a Cloud Solution | 20-25% | - Planning and estimating GCP product usage
|
| Configuring Access and Security | 15-20% | - Managing service accounts
|
| Deploying and Implementing a Cloud Solution | 20-25% | - Deploying and managing Compute Engine resources
|
| Ensuring Successful Operation | 15-20% | - Managing Compute Engine resources
|
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NEW QUESTION # 330
Your company has a Google Cloud Platform project that uses BigQuery for data warehousing. Your data science team changes frequently and has few members. You need to allow members of this team to perform queries. You want to follow Google-recommended practices. What should you do?
Answer: D
Explanation:
Read the dataset's metadata and to list tables in the dataset. Read data and metadata from the dataset's tables.
When applied at the project or organization level, this role can also enumerate all datasets in the project.
Additional roles, however, are necessary to allow the running of jobs.
BigQuery Data Viewer
(roles/bigquery.dataViewer)
When applied to a table or view, this role provides permissions to:
Read data and metadata from the table or view.
This role cannot be applied to individual models or routines.
When applied to a dataset, this role provides permissions to:
Read the dataset's metadata and list tables in the dataset.
Read data and metadata from the dataset's tables.
When applied at the project or organization level, this role can also enumerate all datasets in the project.
Additional roles, however, are necessary to allow the running of jobs.
Lowest-level resources where you can grant this role:
Table
View
BigQuery Job User
(roles/bigquery.jobUser)
Provides permissions to run jobs, including queries, within the project.
Lowest-level resources where you can grant this role:
Project
to run jobs https://cloud.google.com/bigquery/docs/access-control#bigquery.jobUser databaseUser needs additional role permission to run jobshttps://cloud.google.com/spanner/docs/iam#spanner.databaseUser
NEW QUESTION # 331
You have one GCP account running in your default region and zone and another account running in a non- default region and zone. You want to start a new Compute Engine instance in these two Google Cloud Platform accounts using the command line interface. What should you do?
Answer: A
Explanation:
"Run gcloud configurations list to start the Compute Engine instances". How the heck are you expecting to
"start" GCE instances doing "configuration list".
Each gcloud configuration has a 1 to 1 relationship with the region (if a region is defined). Since we have two different regions, we would need to create two separate configurations using gcloud config configurations createRef: https://cloud.google.com/sdk/gcloud/reference/config/configurations/create Secondly, you can activate each configuration independently by running gcloud config configurations activate
[NAME]Ref: https://cloud.google.com/sdk/gcloud/reference/config/configurations/activate Finally, while each configuration is active, you can run the gcloud compute instances start [NAME] command to start the instance in the configurations region.https://cloud.google.com/sdk/gcloud/reference/compute
/instances/start
NEW QUESTION # 332
(You deployed an application on a managed instance group in Compute Engine. The application accepts Transmission Control Protocol (TCP) traffic on port 389 and requires you to preserve the IP address of the client who is making a request. You want to expose the application to the internet by using a load balancer.
What should you do?)
Answer: A
Explanation:
An external passthrough Network Load Balancer operates at layer 4 (TCP/UDP) and preserves the original client IP address. This is a key requirement stated in the question. It's also designed for external-facing applications that need to handle TCP or UDP traffic directly without proxying at the application layer.
Option A: An internal passthrough Network Load Balancer is used for load balancing traffic within a Virtual Private Cloud (VPC) network, not for exposing applications to the public internet.
Option C & D: Global and regional external proxy Network Load Balancers operate at layer 7 (HTTP
/HTTPS) or use a proxy for TCP/SSL, which means they terminate the client connection at the load balancer and establish a new connection to the backend instances. This does not preserve the original client IP address by default (though there are ways to retrieve it via headers, it's not a direct passthrough).
Reference to Google Cloud Certified - Associate Cloud Engineer Documents:
The different types of Google Cloud Load Balancers, their operating layers (L4 vs. L7), and their capabilities, including client IP preservation, are thoroughly documented in the Google Cloud Load Balancing documentation, a critical area for the Associate Cloud Engineer certification. The distinction between passthrough and proxy load balancers is essential.
NEW QUESTION # 333
You have created a code snippet that should be triggered whenever a new file is uploaded to a Cloud Storage bucket. You want to deploy this code snippet. What should you do?
Answer: B
Explanation:
Google Cloud Storage Triggers
Cloud Functions can respond to change notifications emerging from Google Cloud Storage.
These notifications can be configured to trigger in response to various events inside a bucket- object creation, deletion, archiving and metadata updates.
Note: Cloud Functions can only be triggered by Cloud Storage buckets in the same Google Cloud Platform project.
Event types
Cloud Storage events used by Cloud Functions are based on Cloud Pub/Sub Notifications for Google Cloud Storage and can be configured in a similar way.
Supported trigger type values are:
google.storage.object.finalize
google.storage.object.delete
google.storage.object.archive
google.storage.object.metadataUpdate
Object Finalize
Trigger type value: google.storage.object.finalize
This event is sent when a new object is created (or an existing object is overwritten, and a new generation of that object is created) in the bucket.
https://cloud.google.com/functions/docs/calling/storage#event_types
NEW QUESTION # 334
You are hosting an application from Compute Engine virtual machines (VMs) in us-central1-a. You want to adjust your design to support the failure of a single Compute Engine zone, eliminate downtime, and minimize cost. What should you do?
Answer: D
Explanation:
Explanation
Choosing a region and zone You choose which region or zone hosts your resources, which controls where your data is stored and used. Choosing a region and zone is important for several reasons:
Handling failures
Distribute your resources across multiple zones and regions to tolerate outages. Google designs zones to be independent from each other: a zone usually has power, cooling, networking, and control planes that are isolated from other zones, and most single failure events will affect only a single zone. Thus, if a zone becomes unavailable, you can transfer traffic to another zone in the same region to keep your services running.
Similarly, if a region experiences any disturbances, you should have backup services running in a different region. For more information about distributing your resources and designing a robust system, see Designing Robust Systems. Decreased network latency To decrease network latency, you might want to choose a region or zone that is close to your point of service.
https://cloud.google.com/compute/docs/regions-zones#choosing_a_region_and_zone
NEW QUESTION # 335
......
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