Cloud Digital Leader Practice Test 13 — 15 Questions

Question 1

Drag and drop the steps to set up a Cloud Storage bucket with uniform bucket-level access into the correct order.

Accepted Answer

Access Cloud Storage, then create a bucket, then name the bucket, then select storage settings, then enable uniform bucket-level access.. The process begins with accessing Cloud Storage, then creating a bucket, naming it, selecting storage settings, and enabling uniform access control.

Answer

Access Cloud Storage, then create a bucket, then select storage settings, then name the bucket, then enable uniform bucket-level access.

Answer

Access Cloud Storage, then enable uniform bucket-level access, then create a bucket, then name the bucket, then select storage settings.

Answer

Create a bucket, then access Cloud Storage, then name the bucket, then select storage settings, then enable uniform bucket-level access.

Question 2

A company plans to run a batch processing job every night for 2 hours. They want to minimize costs while ensuring the job completes within a 4-hour window. Which pricing model should they choose?

Accepted Answer

Preemptible VM instances. Preemptible VM instances (B) are ideal for fault-tolerant, short-lived batch jobs that can handle interruptions. They offer significantly lower cost than on-demand instances, and because the job runs for only 2 hours within a 4-hour window, it can be restarted if preempted, ensuring completion at minimal expense.

Answer

On-demand pricing

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Committed use discounts

Answer

Sustained use discounts

Question 3

A healthcare organization needs to store and analyze large volumes of patient diagnostic imaging data (e.g., DICOM files) in Google Cloud. The data must be stored in a cost-effective manner for long-term retention, with the ability to query metadata and run analytics using SQL-like queries. Which combination of Google Cloud services best meets these requirements?

Accepted Answer

Cloud Storage (Nearline) for images, BigQuery for metadata analytics. Cloud Storage Nearline provides cost-effective long-term storage for large imaging files with retrieval flexibility, while BigQuery enables SQL-based analytics on metadata extracted from DICOM headers, meeting both retention and query requirements without the cost of standard storage or the complexity of transactional databases.

Answer

Cloud Storage (Standard) for images, Datastore for metadata

Answer

Cloud Storage (Archive) for images, Cloud Spanner for metadata

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Cloud Filestore for images, Cloud SQL for metadata

Question 4

Drag and drop the steps to configure a load balancer for an HTTP application on Compute Engine into the correct order.

Accepted Answer

Create an instance group, then a health check, then a backend service, then a URL map, then a target proxy, then a forwarding rule. The correct order is: instance group, health check, backend service, URL map, then target proxy and forwarding rule.

Answer

Create a health check, then an instance group, then a backend service, then a URL map, then a target proxy, then a forwarding rule

Answer

Create an instance group, then a backend service, then a health check, then a URL map, then a target proxy, then a forwarding rule

Answer

Create an instance group, then a health check, then a URL map, then a backend service, then a target proxy, then a forwarding rule

Question 5

A developer needs to debug a production issue by analyzing logs from multiple microservices. Which Google Cloud service should they use to filter and search logs in real time?

Accepted Answer

Cloud Logging. Cloud Logging (formerly Stackdriver Logging) is the correct service because it provides a centralized log management system that can ingest logs from multiple microservices, filter them using advanced queries, and search them in real time. Its Logs Explorer interface supports custom filters, labels, and timestamps, enabling developers to pinpoint production issues across distributed services without delay.

Answer

Cloud Monitoring

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Error Reporting

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Cloud Debugger

Question 6

A company wants to implement SLOs for their API service. They need to measure the proportion of successful requests over a 30-day window. Which metric should they use?

Accepted Answer

SLI = good events / total events. An SLI (Service Level Indicator) is defined as the ratio of good events to total events, which directly measures the proportion of successful requests over a 30-day window. This aligns with the requirement to track request success rate, not just system uptime. In Google Cloud operations, SLOs are built on SLIs that count discrete events like HTTP 200 responses versus all requests.

Answer

availability (uptime)

Answer

latency at 99th percentile

Answer

requests/success

Question 7

An engineer needs to deploy a containerized application on Google Kubernetes Engine (GKE) and ensure that each pod gets a static IP address that persists across rescheduling. Which networking approach should they use?

Accepted Answer

Use a VPC-native cluster and assign a static internal IP using the `networking.gke.io/static-ip` annotation.. GKE supports static IP addresses for pods using VPC-native clusters and alias IP ranges. By reserving a static internal IP address and assigning it to the pod via a Kubernetes annotation, the IP persists even if the pod is rescheduled.

Answer

Use a load balancer service of type LoadBalancer.

Answer

Use a DaemonSet to ensure one pod per node.

Answer

Use a StatefulSet with a headless service.

Question 8

A company wants to innovate quickly by leveraging machine learning without building models from scratch. Which Google Cloud service allows them to use pre-trained models via APIs?

Accepted Answer

Cloud Vision API. Cloud Vision API is correct because it provides pre-trained machine learning models via REST APIs, allowing the company to integrate image recognition capabilities (e.g., label detection, OCR, face detection) without building or training any models. This directly meets the requirement of leveraging ML without building from scratch, as the API abstracts all model training and deployment.

Answer

BigQuery ML

Answer

AI Platform

Answer

AutoML

Question 9

A company is migrating to Google Cloud and wants to reduce operational overhead for managing their infrastructure. Which Google Cloud service allows them to define infrastructure as code and automate provisioning?

Accepted Answer

Cloud Deployment Manager. Cloud Deployment Manager is the correct answer because it is a Google Cloud service that allows you to define your infrastructure as code using declarative templates (in YAML, Python, or Jinja2). It automates the provisioning and management of Google Cloud resources, reducing manual operational overhead by enabling repeatable, version-controlled deployments.

Answer

Google Cloud SDK

Answer

Cloud Console

Answer

Cloud Shell

Question 10

A company's cloud costs have increased by 40% over the past quarter. The operations team wants to identify and address the root causes. Which cost optimization strategies should they investigate first?

Accepted Answer

Identify idle and underutilized resources (oversized VMs, unused disks, unattached IPs), apply lifecycle policies to storage, and commit to CUDs for stable workloads.. The first step in cloud cost optimization is to identify and eliminate waste from idle or oversized resources, which is the most common source of cost inefficiency. Applying lifecycle policies to storage and committing to Committed Use Discounts (CUDs) for stable workloads are proven strategies to reduce costs without compromising performance. This approach aligns with Google Cloud's recommended FinOps practices, focusing on immediate, high-impact savings before considering architectural changes.

Answer

Immediately upgrade all infrastructure to the latest generation hardware for better efficiency.

Answer

Migrate all workloads to Spot VMs immediately to reduce costs by 90%.

Answer

Switch cloud providers to whoever has the lowest advertised list price.

Question 11

Which TWO of the following are key benefits of cloud technology that are transforming business operations?

Accepted Answer

Elasticity to automatically scale resources up and down. Cloud elasticity allows resources to automatically scale up or down based on demand, eliminating over-provisioning and underutilization. This dynamic adjustment is a key transformation driver, enabling businesses to handle variable workloads efficiently without manual intervention.

Answer

Physical security of data centers

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Data locality to keep data within national borders

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Ability to purchase reserved instances for predictable workloads

Question 12

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. 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.

Answer

Use a global load balancer and update DNS

Answer

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

Answer

Use Cloud Interconnect to extend the on-premises network

Question 13

A company wants to monitor the health and performance of their applications running on Google Cloud. Which two Google Cloud services should they use together for comprehensive observability?

Accepted Answer

Cloud Monitoring. Cloud Monitoring and Cloud Logging together form the core of Google Cloud's observability stack. Cloud Monitoring collects metrics, uptime checks, and alerting policies, while Cloud Logging ingests, stores, and analyzes log data. Combined, they provide the metrics, logs, and alerting needed to comprehensively monitor application health and performance.

Answer

Cloud Profiler

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Cloud Debugger

Answer

Cloud Trace

Question 14

A company migrates its on-premises database to Cloud SQL. The security team is concerned about who is responsible for patching the underlying operating system and database engine. Under the shared responsibility model, which of the following is true?

Accepted Answer

Google Cloud is responsible for patching the operating system and database engine.. Under the Google Cloud shared responsibility model, Google Cloud manages the underlying infrastructure, including patching the operating system and database engine for managed services like Cloud SQL. This is because Cloud SQL is a fully managed service where Google Cloud handles OS and database engine updates, ensuring security and compliance without customer intervention. The customer remains responsible for data, access management, and application-level configurations.

Answer

The customer must patch the operating system of the Cloud SQL instances.

Answer

The customer is responsible for physical security of the data centers.

Answer

The customer is responsible for applying database engine patches.

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.

Answer

Cloud Scheduler

Answer

Cloud Asset Inventory

Answer

Cloud Logging