Cloud Digital Leader Practice Test 28 — 15 Questions

Question 1

Which TWO statements correctly describe Cloud Run scaling behavior?

Accepted Answer

You can define a target concurrency to control how many requests each container instance handles.. Cloud Run allows you to set a target concurrency (the number of simultaneous requests a single container instance can handle). This is a key scaling parameter that controls how many requests are routed to each instance before Cloud Run spins up additional instances. By default, concurrency is set to 80, but you can adjust it up to 1000 or set it to 1 for sequential processing.

Answer

The maximum number of instances can be set to 'default' which is unlimited.

Answer

You can set a minimum number of instances to ensure zero cold starts.

Answer

Autoscaling uses CPU and memory utilization to make decisions.

Question 2

A multinational corporation needs to establish a private, low-latency connection between their on-premises data center and Google Cloud. The connection must be consistent, reliable, and support at least 10 Gbps throughput. Which solution should they use?

Accepted Answer

Dedicated Interconnect. Dedicated Interconnect provides a direct, private physical connection between an on-premises network and Google Cloud, offering consistent, reliable, low-latency connectivity with throughput options of 10 Gbps or 100 Gbps per link. This meets the requirement for a private, low-latency connection with at least 10 Gbps throughput, as it bypasses the public internet entirely and provides a Service Level Agreement (SLA) for uptime and performance.

Answer

Cloud NAT with static IP addresses

Answer

Partner Interconnect via a service provider

Answer

Cloud VPN using IPsec tunnels over the public internet

Question 3

A financial services company is migrating its on-premises monitoring system to Google Cloud. They need to collect metrics, logs, and traces from multiple projects and provide a unified view for their operations team. Security requires that logs containing sensitive data be stored with additional encryption and access controls. Which combination of services should they use?

Accepted Answer

Cloud Monitoring, Cloud Logging, and Cloud Trace with a custom sink to a BigQuery dataset that uses CMEK.. The company needs to collect metrics, logs, and traces (requiring Cloud Monitoring, Cloud Logging, and Cloud Trace) and must store logs containing sensitive data with additional encryption and access controls. A custom sink to BigQuery with CMEK provides customer-managed encryption keys for the BigQuery dataset, and BigQuery's native access controls (IAM, row-level security) satisfy the requirement for additional access controls beyond the default Logging buckets.

Answer

Cloud Monitoring, Cloud Logging, and Cloud Trace with Logging's _Required and _Default buckets.

Answer

Cloud Monitoring and Cloud Logging with Log Analytics.

Answer

Cloud Monitoring, Cloud Logging, and Cloud Trace with Cloud Audit Logs.

Question 4

A global financial services firm is migrating its risk analysis workloads to Google Cloud to accelerate new model deployments. Which cloud benefit most directly supports faster time-to-market?

Accepted Answer

Rapid provisioning and deployment. Rapid provisioning and deployment (B) directly accelerates time-to-market because it allows the firm to spin up risk analysis environments in minutes using Infrastructure as Code (IaC) tools like Terraform or Deployment Manager, rather than waiting weeks for hardware procurement. This speed enables data scientists to iterate on models faster, deploy new versions immediately, and respond to market changes without infrastructure bottlenecks.

Answer

Security compliance

Answer

Pay-as-you-go pricing

Answer

Global infrastructure

Question 5

A multinational corporation must comply with data residency requirements that prohibit storing data outside specific geographic regions. They plan to use BigQuery for analytics. How can Google Cloud help enforce this requirement?

Accepted Answer

Use BigQuery’s location parameter to set dataset location and enforce via Organization Policy. BigQuery datasets are created with a specific location parameter (e.g., `us-central1` or `EU`), and Google Cloud Organization Policies can be used to restrict where datasets can be created. By defining a constraint like `constraints/bigquery.locationRestriction`, administrators can enforce that datasets must reside only in approved geographic regions, preventing any data from being stored outside those boundaries. This directly addresses data residency requirements without relying on detection or blocking mechanisms that don't control storage location.

Answer

Use Cloud Audit Logs to detect and alert on cross-region data storage

Answer

Use Cloud Data Loss Prevention to redact cross-region data

Answer

Use VPC Service Controls to block access to BigQuery APIs from other regions

Question 6

A developer is troubleshooting a slow response from a Cloud Run service. Which Google Cloud service can they use to trace requests across microservices?

Accepted Answer

Cloud Trace. Cloud Trace is the correct service because it is specifically designed for distributed tracing, collecting latency data from applications and displaying it in a trace timeline. It can trace requests as they propagate across multiple microservices, including Cloud Run services, by using trace context propagation headers (e.g., `X-Cloud-Trace-Context`). This allows the developer to identify bottlenecks and slow components in a request path.

Answer

Cloud Profiler

Answer

Cloud Logging

Answer

Cloud Debugger

Question 7

A business wants to reduce the time to market for new features by enabling developers to provision infrastructure without waiting for IT. Which cloud attribute supports this?

Accepted Answer

On-demand self-service. On-demand self-service (Option D) is the correct answer because it allows developers to provision infrastructure automatically without requiring human interaction from IT. This cloud attribute, defined by NIST SP 800-145, enables users to unilaterally provision computing resources as needed, directly reducing time to market by eliminating manual approval and setup delays.

Answer

Disaster recovery

Answer

Broad network access

Answer

High availability

Question 8

Two competing retail companies adopt cloud at the same time. Company A uses cloud to run its existing applications more cheaply (lift-and-shift). Company B uses cloud to build new personalized customer experiences, real-time inventory optimization, and a mobile-first shopping platform. Five years later, Company B significantly outperforms Company A. What does this outcome illustrate?

Accepted Answer

Cloud adoption creates competitive advantage only when used to transform business models and customer experiences, not just to reduce infrastructure costs. This scenario illustrates the critical distinction between cloud as cost reduction versus cloud as business enablement. Both companies 'adopted cloud,' but Company A treated it as infrastructure cost optimization (digitization) while Company B used it to fundamentally change customer experiences and business operations (digital transformation). The competitive divergence confirms that transformation, not mere migration, is the source of cloud's competitive value.

Answer

Company B must have spent more on cloud than Company A, proving that higher cloud investment always produces better outcomes

Answer

Company A made a mistake by moving to cloud; it should have stayed on-premises to avoid disruption

Answer

Company B succeeded because it used a different cloud provider with superior technology

Question 9

Drag and drop the steps to migrate an on-premises MySQL database to Cloud SQL using Database Migration Service into the correct order.

Accepted Answer

Set up the destination Cloud SQL instance, then connect to the source database, then create and start the migration job, then promote the Cloud SQL instance to make it primary.. The migration process requires setting up the destination, connecting to the source, creating and starting the migration, then promoting.

Answer

Connect to the source database, then set up the destination Cloud SQL instance, then create and start the migration job, then promote the Cloud SQL instance.

Answer

Set up the destination Cloud SQL instance, then create and start the migration job, then connect to the source database, then promote the Cloud SQL instance.

Answer

Set up the destination Cloud SQL instance, then connect to the source database, then promote the Cloud SQL instance, then create and start the migration job.

Question 10

Refer to the exhibit. A DevOps engineer wants to create a chart showing the rate of items sold per second over time. What is a limitation of this metric for that purpose?

Accepted Answer

The metric kind is GAUGE, so it cannot be used to calculate rate. A GAUGE metric type represents a point-in-time value (e.g., current number of items), not a cumulative counter. To calculate a rate (items per second), you need a CUMULATIVE counter metric that monotonically increases, allowing Cloud Monitoring to compute the derivative over time. GAUGE metrics lack the necessary monotonicity and cumulative semantics, so they cannot be used to derive a meaningful rate of change.

Answer

The interval should include a startTime

Answer

The metric has no labels to filter

Answer

The value should be DOUBLE instead of INT64

Question 11

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.

Answer

Use Cloud CDN to cache content

Answer

Use larger machine types with more vCPUs

Answer

Deploy instances in multiple regions

Question 12

Drag and drop the steps to recover a Compute Engine VM from a snapshot in the correct order.

Accepted Answer

Stop the VM, create a disk from the snapshot, detach the old boot disk, attach the new boot disk, start the VM. The recovery process involves using the snapshot to create a disk, detaching the old boot disk, attaching the new one, and starting the VM.

Answer

Create a disk from the snapshot, stop the VM, detach the old boot disk, attach the new boot disk, start the VM

Answer

Stop the VM, detach the old boot disk, create a disk from the snapshot, attach the new boot disk, start the VM

Answer

Stop the VM, detach the old boot disk, attach the new boot disk, create a disk from the snapshot, start the VM

Question 13

Drag and drop the steps to set up a Cloud SQL for MySQL instance with a private IP address into the correct order.

Accepted Answer

Configure private services access on the VPC network, then create the Cloud SQL for MySQL instance with a private IP address, then connect from a Compute Engine VM in the same VPC.. The process requires setting up the VPC first, then creating the Cloud SQL instance with a private IP, and finally connecting from a VM.

Answer

Create the Cloud SQL for MySQL instance with a private IP address, then configure private services access on the VPC network, then connect from a Compute Engine VM in the same VPC.

Answer

Connect from a Compute Engine VM in the same VPC, then configure private services access on the VPC network, then create the Cloud SQL for MySQL instance with a private IP address.

Answer

Configure private services access on the VPC network, then connect from a Compute Engine VM in the same VPC, then create the Cloud SQL for MySQL instance with a private IP address.

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.. 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.

Answer

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

Answer

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

Question 15

Which Google Cloud service is a managed platform for building, training, and deploying ML models, including support for AutoML and custom models?

Accepted Answer

Vertex AI. Vertex AI is a unified ML platform that combines AutoML and custom model training, tuning, and serving.

Answer

BigQuery ML

Answer

AI Platform (legacy)

Answer

Cloud TPU