Important Google Professional Data Engineer Exam Questions

Answer: B

Explanation:

Google Cloud's core recommendation for Identity and Access Management (IAM) scalability is to manage access using Google Groups rather than individual users.

Manageability: Instead of updating IAM policies in three different projects every time a developer joins or leaves the company, you simply add/remove them from a single Google Group (e.g., developers@company.com).

Enforcement: You apply the Editor role to the group in the Dev Project, the Viewer role in the Staging Project, and no roles in the Production Project. This centrally manages the 'Joiner-Mover-Leaver' process.

Correcting other options:

A: Firewalls control network traffic, not identity-based access to GCP resources like BigQuery or Dataflow.

C: Granting roles to individuals is prone to error, difficult to audit, and does not scale.

D: VPC Service Controls are for mitigating data exfiltration, not for basic user-level role management across environments.

'Grant roles to groups instead of individual users. It is easier to update the members of a group than to update the principals in your allow policies... Using groups helps you manage permissions at scale and simplifies auditing.' (Source: Best practices for using Google Groups)

'For a consistent security posture, use groups to represent job functions and assign roles to those groups at the appropriate level in the resource hierarchy.' (Source: IAM guide - Manage access to projects, folders, and organizations)

Answer: B, D, F

Explanation:

Topic 5, Practice Questions

Answer: C

Explanation:

A dual-region Cloud Storage bucket is a type of bucket that stores data redundantly across two regions within the same continent. This provides higher availability and durability than a regional bucket, which stores data in a single region. A dual-region bucket also provides lower latency and higher throughput than a multi-regional bucket, which stores data across multiple regions within a continent or across continents. A dual-region bucket with turbo replication enabled is a premium option that offers even faster replication across regions, but it is more expensive and not necessary for this scenario.

By using a dual-region Cloud Storage bucket, you can ensure that your data is protected from regional outages, and that you can access it from either region with low latency and high performance. You can also monitor the Dataflow metrics with Cloud Monitoring to determine when an outage occurs, and seek the subscription back in time by 15 minutes to recover the acknowledged messages. Seeking a subscription allows you to replay the messages from a Pub/Sub topic that were published within the message retention duration, which is one day in this case. By seeking the subscription back in time by 15 minutes, you can meet the RPO of 15 minutes, which means the maximum amount of data loss that is acceptable for your business. You can then start the Dataflow job in a secondary region and write to the same dual-region bucket, which will resume the processing of the messages and prevent data loss.

Option A is not a good solution, as using a regional Cloud Storage bucket does not provide any redundancy or protection from regional outages. If the region where the bucket is located experiences an outage, you will not be able to access your data or write new data to the bucket. Seeking the subscription back in time by one day is also unnecessary and inefficient, as it will replay all the messages from the past day, even though you only need to recover the messages from the past 15 minutes.

Option B is not a good solution, as using a multi-regional Cloud Storage bucket does not provide the best performance or cost-efficiency for this scenario. A multi-regional bucket stores data across multiple regions within a continent or across continents, which provides higher availability and durability than a dual-region bucket, but also higher latency and lower throughput. A multi-regional bucket is more suitable for serving data to a global audience, not for processing data with Dataflow within a single continent. Seeking the subscription back in time by 60 minutes is also unnecessary and inefficient, as it will replay more messages than needed to meet the RPO of 15 minutes.

Option D is not a good solution, as using a dual-region Cloud Storage bucket with turbo replication enabled does not provide any additional benefit for this scenario, but only increases the cost. Turbo replication is a premium option that offers faster replication across regions, but it is not required to meet the RPO of 15 minutes. Seeking the subscription back in time by 60 minutes is also unnecessary and inefficient, as it will replay more messages than needed to meet the RPO of 15 minutes.Reference:Storage locations | Cloud Storage | Google Cloud,Dataflow metrics | Cloud Dataflow | Google Cloud,Seeking a subscription | Cloud Pub/Sub | Google Cloud,Recovery point objective (RPO) | Acronis.

Answer: B

Explanation:

For Cloud Bigtable, you can configure access control at the project level. For example, you can grant the ability to:

Read from, but not write to, any table within the project.

Read from and write to any table within the project, but not manage instances.

Read from and write to any table within the project, and manage instances.

Answer: A

Explanation:

Analytics Hub is a service that allows you to securely share and discover data assets across your organization and with external partners. You can use Analytics Hub to create and manage data assets, such as BigQuery datasets, views, and queries, and control who can access them. You can also browse and use data assets that others have shared with you. By using Analytics Hub, you can keep the costs of data sharing low and ensure that the data is current, as the data assets are not copied or moved, but rather referenced from their original sources.