Cloud-Digital-Leader Google Cloud Digital Leader exam Free Practice Exam Questions (2025 Updated)

Google's purpose-built servers are specifically designed and optimized for Google's workloads, making them more efficient than standard off-the-shelf servers. These servers are tailored for specific tasks, such as handling large-scale data processing or machine learning workloads, providing better performance and energy efficiency.

Option C: They are optimized for specific tasks making them more efficient is correct because it describes the primary benefit of Google's custom server hardware.

BigQuery is a fully managed, serverless data warehouse that is designed for large-scale data analysis. It is optimized for handling petabytes of data and provides fast query performance. It is scalable and supports advanced analytical queries, making it ideal for organizations that need to analyze massive amounts of historical data efficiently.

Option A: BigQuery is correct because it is specifically designed for large-scale, advanced data analytics and is fully managed by Google Cloud.

Streaming analytics is the real-time processing of data as it is ingested. The defining function of streaming analytics is to process data records continuously, as opposed to batch processing, which handles data in large chunks at intervals. Streaming analytics allows for immediate insights and actions based on live data.

Option B: Processing data records continuously is correct because it describes the fundamental nature of streaming analytics: it analyzes data streams as they come in, enabling real-time analysis, monitoring, and decision-making.

Flavors of Apigee

Apigee comes in the following flavors:

Apigee: A hosted SaaS version in which Apigee maintains the environment, allowing you to concentrate on building your services and defining the APIs to those services.

Apigee hybrid: A hybrid version consisting of a runtime plane installed on-premises or in a cloud provider of your choice, and a management plane running in Apigee's cloud. In this model, API traffic and data are confined within your own enterprise-approved boundaries.

With Lift and Shift migrations, the customer could move workloads from a source environment to a target environment with few or no modifications or refactoring

https://cloud.google.com/architecture/migration-to-gcp-getting-started

Preemptible instances function like normal instances but have the following limitations:

-> Compute Engine might stop preemptible instances at any time due to system events. The probability that Compute Engine will stop a preemptible instance for a system event is generally low, but might vary from day to day and from zone to zone depending on current conditions.

-> Compute Engine always stops preemptible instances after they run for 24 hours. Certain actions reset this 24-hour counter.

-> Preemptible instances are finite Compute Engine resources, so they might not always be available.

-> Preemptible instances can't live migrate to a regular VM instance, or be set to automatically restart when there is a maintenance event.

-> Due to the above limitations, preemptible instances are not covered by any Service Level Agreement (and, for clarity, are excluded from the Compute Engine SLA).

-> The Google Cloud Free Tier credits for Compute Engine do not apply to preemptible instances.

Multi-region option will use multiple datacenters that are within the European Union. More regions will also help with lower latency since users are spread across the European U.

https://cloud.google.com/storage/docs/locations#considerations

Apigee includes analytics services which allow enterprises to report on various aspects of an API.

You can dynamically increase the size of a subnet in a custom network by expanding the range of IP addresses allocated to it. Doing that doesn’t affect already configured VMs.

Because Cloud Monitoring enables users to monitor the performance of their entire cloud infrastructure.

When there are huge surges in demand, it is preferable to use serverless technologies that automatically scale on demand. In this case, the key concern is data ingestion. Pub/Sub is a serverless system that can expand to absorb such demand.

Community Cloud – The cloud infrastructure is planned for selective use by a particular community of consumers from organizations that have mutual interests like security needs, policy, and compliance considerations.

Reference link- https://csrc.nist.gov/glossary/term/community_cloud

Cloud Bigtable

A fully managed, scalable NoSQL database service for large analytical and operational workloads with up to 99.999% availability.

- Consistent sub-10ms latency—handle millions of requests per second

- Ideal for use cases such as personalization, ad tech, fintech, digital media, and IoT

- Seamlessly scale to match your storage needs; no downtime during reconfiguration

- Designed with a storage engine for machine learning applications leading to better predictions

- Easily connect to Google Cloud services such as BigQuery or the Apache ecosystem

The above is a real world example of a company named Planet, where they sent around 80+ satellites to take pictures of earth every day, 24 hours. They run around 40,000 preemptible VMs concurrently.

Preemptible instances function like normal instances but have the following limitations:

Compute Engine might stop preemptible instances at any time due to system events. The probability that Compute Engine will stop a preemptible instance for a system event is generally low, but might vary from day to day and from zone to zone depending on current conditions.

Compute Engine always stops preemptible instances after they run for 24 hours. Certain actions reset this 24-hour counter.

Preemptible instances are finite Compute Engine resources, so they might not always be available.

Preemptible instances can't live migrate to a regular VM instance, or be set to automatically restart when there is a maintenance event.

Due to the above limitations, preemptible instances are not covered by any Service Level Agreement (and, for clarity, are excluded from the Compute Engine SLA).

The Google Cloud Free Tier credits for Compute Engine do not apply to preemptible instances.

Reference link-  https://cloud.google.com/compute/docs/instances/preemptible

Using sync for new images implies that you will continue to use your onprem and keep synchronizing it forever, Sync just once for the old images, new images go directly to google cloud via pub/sub, and eventually get rid of the onprem.

Enable Services and APIs

Reference link- https://cloud.google.com/storage/docs/projects

Anthos unifies the management of infrastructure and applications across on-premises, edge, and in multiple public clouds with a Google Cloud-backed control plane for consistent operation at scale.

https://cloud.google.com/blog/products/devops-sre/sre-fundamentals-slis-slas-and-slos

"Cloud VPN securely extends your peer network to Google's network through an IPsec VPN tunnel. Traffic is encrypted and travels between the two networks over the public internet. Cloud VPN is useful for low-volume data connections. For additional connection options, see the Hybrid Connectivity product page."