Cloud Digital Leader Practice Test 34 — 15 Questions

Question 1

A financial services firm is migrating a legacy application to Google Cloud. The application requires static IP addresses that must not change during migration. The network team wants to minimize downtime. Which migration strategy should they use?

Accepted Answer

Set up a Cloud VPN tunnel and migrate using the same IP addresses. Option D is correct because a Cloud VPN tunnel can extend the on-premises network into Google Cloud, allowing the legacy application to retain its existing static IP addresses during migration. By establishing a VPN tunnel, traffic can be routed seamlessly between environments, minimizing downtime as the application is migrated without requiring IP address changes.

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Use a global load balancer and update DNS

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Lift and shift the application to Compute Engine with new IP addresses

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Use Cloud Interconnect to extend the on-premises network

Question 2

Which THREE of the following are compute services offered by Google Cloud? (Choose exactly 3.)

Accepted Answer

Compute Engine. Compute Engine is a core Google Cloud compute service that provides virtual machines (VMs) running on Google's infrastructure. It allows you to create and manage VM instances with custom machine types, persistent disks, and networking configurations, making it a fundamental compute offering for running general-purpose workloads.

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Cloud Storage

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Cloud SQL

Question 3

A company is running a latency-sensitive application on Compute Engine instances in a single zone. They want to improve availability without sacrificing low latency. Which strategy should they use?

Accepted Answer

Deploy instances in multiple zones within the same region. Deploying instances in multiple zones within the same region provides high availability by distributing workloads across physically separate data centers (zones) while keeping network latency low, as intra-region latency is typically under 1-2 ms. This approach protects against zonal failures without the added latency of cross-region communication, which can be 10-100 ms or more.

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Use Cloud CDN to cache content

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Use larger machine types with more vCPUs

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Deploy instances in multiple regions

Question 4

A retail company wants to migrate its on-premises e-commerce platform to Google Cloud. The application is stateless and runs on virtual machines. The company wants to minimize operational overhead and allow the application to automatically scale based on CPU utilization. Which Google Cloud service should they use?

Accepted Answer

Compute Engine with managed instance groups and autoscaling. Option C is correct because the application runs on virtual machines and is stateless, making Compute Engine with managed instance groups and autoscaling the most direct fit. Managed instance groups automatically handle scaling based on CPU utilization without requiring containerization or code changes, minimizing operational overhead while preserving the existing VM-based architecture.

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Google Kubernetes Engine (GKE)

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Cloud Run

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App Engine Standard Environment

Question 5

Refer to the exhibit. A user receives this error when trying to copy an object from one bucket to another. What is the most likely cause?

Accepted Answer

The service account used does not have the required IAM permissions to copy objects.. The error when copying an object between buckets is most likely due to insufficient IAM permissions. In Google Cloud, the service account initiating the copy must have both `storage.objects.get` (to read the source object) and `storage.objects.create` (to write to the destination bucket) permissions. Without these, the operation fails with an access denied error, even if the buckets exist and are accessible.

Answer

The buckets are located in different regions and cross-region copy is not allowed.

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The destination bucket has exceeded its storage quota.

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The source bucket name is misspelled in the request.

Question 6

Which TWO of the following are key benefits of using a cloud provider like Google Cloud? (Choose exactly 2.)

Accepted Answer

Access to a global network infrastructure. Option A is correct because cloud providers like Google Cloud operate a vast, globally distributed network of data centers interconnected via high-capacity fiber optic cables and private peering agreements. This global infrastructure allows customers to deploy workloads close to their users, reducing latency and improving performance without building their own network. Access to this network is a fundamental benefit of cloud computing, enabling global reach and reliability.

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Complete removal of physical security responsibilities

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Reduced internet latency

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Elimination of hardware costs

Question 7

A startup needs to run a web application with unpredictable traffic. They want to avoid over-provisioning and only pay for resources used. Which cloud benefit best addresses this need?

Accepted Answer

Pay-as-you-go pricing. Pay-as-you-go pricing (Option B) directly matches the startup's need to avoid over-provisioning and pay only for resources consumed. This cloud pricing model allows resources to scale up and down automatically based on traffic, with billing tied to actual usage (e.g., compute hours, data transfer). It eliminates the capital expense of idle capacity, which is critical for unpredictable workloads.

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Built-in security

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Global reach and low latency

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Managed services

Question 8

A company is deploying a global web application with static content (images, CSS, JS) and dynamic API calls. They want to reduce latency for users worldwide. Which TWO services should they combine? (Choose 2)

Accepted Answer

Cloud CDN. Cloud CDN (option B) caches static content (images, CSS, JS) at Google's globally distributed edge points of presence (PoPs), reducing latency for users by serving content from a location closer to them. The External HTTP(S) Load Balancer (option C) is required to front the application and integrate with Cloud CDN, providing global anycast IP, SSL termination, and traffic distribution to backend instances. Together, they enable low-latency delivery of both static and dynamic content by combining edge caching with intelligent load balancing.

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Cloud VPN

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Cloud Armor

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Cloud DNS

Question 9

A company wants to connect its on-premises network to Google Cloud for consistent low-latency access to resources. They also need to use the same network policies across multiple projects. Which two Google Cloud products should they use?

Accepted Answer

Cloud Interconnect. Cloud Interconnect provides dedicated, low-latency, and consistent connectivity between an on-premises network and Google Cloud, bypassing the public internet. Shared VPC allows the company to centrally define and apply network policies (e.g., firewall rules, routes) across multiple projects from a single host project, ensuring uniform policy enforcement.

Answer

Cloud NAT

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Cloud VPN

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VPC Network Peering

Question 10

A company is running a PostgreSQL database on Cloud SQL and needs to ensure high availability with automatic failover in the event of a zone failure. Which configuration should they use?

Accepted Answer

Enable regional persistent disk and configure a standby instance in a different zone.. Option A is correct because enabling regional persistent disk allows the primary and standby Cloud SQL instances to share the same underlying storage across zones. When a zone failure occurs, the standby instance in a different zone automatically takes over with no data loss, providing high availability with automatic failover.

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Use point-in-time recovery.

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Configure connection pooling.

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Set up a cross-region read replica.

Question 11

A data analytics team uses BigQuery for large-scale queries. They notice that queries are scanning more data than necessary, leading to high costs. Which feature should they implement to reduce the amount of data scanned per query?

Accepted Answer

Partitioning. Partitioning divides a table into segments based on a column (e.g., date), allowing BigQuery to prune partitions during query execution. When a query includes a filter on the partitioning column, BigQuery scans only the relevant partitions, significantly reducing the bytes processed and lowering costs.

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Materialized views

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Streaming inserts

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Clustering

Question 12

A multinational retail company has an on-premises infrastructure with a mix of Windows and Linux servers. They are planning to migrate their e-commerce platform to Google Cloud to take advantage of scalability and reduce latency. The platform consists of a web frontend (Apache), a backend API (Node.js), and a MySQL database. They want to minimize downtime during the migration. They have a limited budget and need a solution that is cost-effective and quick to implement. The IT team has experience with containers but prefers to avoid managing Kubernetes. Which approach should they take?

Accepted Answer

Migrate the frontend to App Engine Standard, the backend to Cloud Run, and the database to Cloud SQL with read replicas.. Option D is correct because it combines fully managed, serverless services (App Engine Standard for the web frontend and Cloud Run for the backend API) with Cloud SQL for the database, which meets the requirements of minimizing downtime, being cost-effective, and avoiding Kubernetes management. App Engine Standard and Cloud Run automatically scale to zero when not in use, reducing costs, and Cloud SQL with read replicas provides high availability and low-latency reads without complex orchestration. This approach also allows for a gradual migration with minimal disruption, as the existing code can be adapted with minimal changes.

Answer

Use Compute Engine for the web frontend, Cloud Functions for the backend API, and Cloud Spanner for the database.

Answer

Lift and shift all components to Compute Engine with an autoscaling managed instance group, and migrate the database to Cloud SQL.

Answer

Containerize all components using GKE, use Cloud SQL for the database, and deploy using a CI/CD pipeline.

Question 13

A global gaming company uses Cloud Spanner for their leaderboard. They notice that write latency spikes during peak hours. The database is currently deployed in a single region. Which scaling strategy should they implement to reduce write latency globally?

Accepted Answer

Use Cloud Spanner multi-region configuration.. Cloud Spanner's multi-region configuration is designed to reduce write latency for globally distributed users by placing write-capable replicas in multiple geographic regions. This allows writes to be committed at the nearest replica, leveraging Spanner's TrueTime and Paxos-based replication to maintain strong consistency across regions. A single-region deployment forces all writes to a single location, causing high latency for distant clients during peak hours.

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Implement application-level caching with Memorystore.

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Change to Cloud Bigtable for higher throughput.

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Add more nodes to the existing Spanner instance.

Question 14

A media company has a web application that serves video content globally. The application is deployed on Compute Engine instances behind a TCP load balancer in a single region. Users in distant regions experience high latency. The company wants to improve performance for all users while keeping operational overhead low. They also need to handle sudden spikes in traffic during live events. What should they do?

Accepted Answer

Deploy additional instances in multiple regions and use a global HTTP(S) load balancer with Cloud CDN.. Option A is correct because deploying instances in multiple regions and using a global HTTP(S) load balancer with Cloud CDN reduces latency by serving content from edge locations close to users. Cloud CDN caches video content at Google's global edge points of presence (PoPs), while the global HTTP(S) load balancer provides anycast IP-based traffic distribution across regions, handling traffic spikes through automatic scaling and distributed capacity.

Answer

Use Cloud Run for the application and enable automatic scaling globally.

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Move the application to Google Kubernetes Engine and use horizontal pod autoscaling.

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Increase the machine type of existing instances and add more instances in the same region.

Question 15

A company wants to monitor its Google Cloud spending and receive alerts when costs exceed a threshold. Which two services should they use together?

Accepted Answer

Cloud Billing Budgets and Alerts. Cloud Billing Budgets and Alerts (D) allows you to define a spending threshold and receive notifications when costs approach or exceed that limit. Cloud Monitoring (E) can ingest those budget alert events and trigger additional actions, such as sending notifications via email, SMS, or Pub/Sub, or integrating with incident management tools. Together, they provide a complete cost monitoring and alerting solution.

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Cloud Scheduler

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Cloud Asset Inventory

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Cloud Logging