Cloud Digital Leader Google Cloud Products and Services Practice Test 8 — 15 Questions

Question 1

A team wants to use a managed MySQL database that offers automatic failover, backups, and read replicas. They also need to connect from Compute Engine instances in the same region. Which service should they use?

Choose an answer to begin — your selection is scored in the full session.

Accepted Answer

Cloud SQL for MySQL. Cloud SQL for MySQL is a fully managed relational database service that supports MySQL, automatic failover, backups, and read replicas. It integrates natively with Compute Engine instances in the same region via private IP or Cloud SQL Auth Proxy. This matches all stated requirements.

Answer

Bigtable

Answer

Cloud Spanner

Answer

Firestore

Question 2

Which Google Cloud service can be used to create and manage virtual networks, subnets, firewall rules, and VPN connections?

Accepted Answer

Cloud VPC. Cloud VPC (Virtual Private Cloud) is the Google Cloud service that provides networking functionality for your resources. It allows you to create and manage virtual networks, subnets, firewall rules, and VPN connections. It is the foundational networking service in GCP, enabling you to define IP ranges, routes, and security policies for your instances and services.

Answer

Cloud Armor

Answer

Cloud Load Balancing

Answer

Cloud CDN

Question 3

A company wants to analyze petabytes of sales data using SQL queries with sub-second response times for dashboards. They need a fully managed, serverless solution that separates storage and compute. Which service meets these requirements?

Accepted Answer

BigQuery. BigQuery is a fully managed, serverless, petabyte-scale data warehouse that separates storage and compute, and supports SQL queries with sub-second response times for dashboards via its columnar storage and slot-based execution. It requires no infrastructure management and scales automatically. These characteristics match the stated requirements exactly.

Answer

Cloud SQL

Answer

Cloud Spanner

Answer

Dataflow

Question 4

A company runs a globally distributed application with users in North America, Europe, and Asia. They need to serve static content (images, videos) with low latency from edge locations. They also need to protect against DDoS attacks. Which combination of services should they use?

Accepted Answer

Cloud CDN and Cloud Armor. Cloud CDN caches static content at edge locations for low latency, and Cloud Armor provides DDoS protection and WAF capabilities.

Answer

Cloud CDN and Cloud NAT

Answer

Cloud Load Balancing and Cloud CDN

Answer

Cloud Armor and Cloud Interconnect

Question 5

A data scientist wants to train a custom machine learning model using a large dataset stored in BigQuery. They need a managed service that supports distributed training with GPU accelerators. Which service should they use?

Accepted Answer

Vertex AI Training. Vertex AI Training is Google Cloud's managed service for training custom machine learning models, supporting distributed training across multiple machines and GPU/TPU accelerators. It integrates with BigQuery for data access and allows custom training code in containers, making it the right choice for training a custom model on a large BigQuery dataset with GPUs.

Answer

Dataflow

Answer

Cloud Functions

Answer

AutoML (within Vertex AI)

Question 6

A company wants to implement a hybrid cloud architecture connecting their on-premises data center to Google Cloud. They need high bandwidth (10 Gbps), low latency, and a service-level agreement (SLA). Which TWO services can provide dedicated connectivity? (Choose two.)

Accepted Answer

Cloud Interconnect (Partner). Cloud Interconnect (Partner) (C) is correct because it provides dedicated connectivity to Google Cloud through a supported partner, delivering high bandwidth up to 10 Gbps or more with low latency and a Google-backed SLA for hybrid architectures. Cloud Interconnect (Dedicated) (D) is also correct because it offers a direct physical connection between the on-premises data center and Google's network, supporting 10 Gbps or 100 Gbps links with low latency and an SLA, exactly matching the stated requirements. HA VPN (A) and Cloud VPN (E) are incorrect because they are IPsec VPN tunnels over the public internet, which cannot guarantee the dedicated 10 Gbps bandwidth or low-latency SLA required here. Cloud CDN (B) is incorrect because it is a content delivery network for caching and serving web content at the edge, not a connectivity service between on-premises and Google Cloud.

Answer

HA VPN

Answer

Cloud CDN

Answer

Cloud VPN

Question 7

A developer wants to build a mobile app backend that uses a real-time database for chat messages, user profiles, and file storage for images. They want a fully managed, serverless solution. Which THREE Google Cloud services should they use? (Choose three.)

Accepted Answer

Cloud Functions. Firestore (C) is the correct choice for the real-time database because it is a fully managed, serverless NoSQL document database that supports real-time synchronization for chat messages and user profiles. Cloud Functions (B) is correct because it provides serverless, event-driven compute that can run backend logic (e.g., triggered by Firestore writes or HTTP requests) without managing servers. Cloud Storage (D) is correct because it is the fully managed, serverless object storage service designed for storing and serving images and other files. Cloud SQL (A) is not appropriate because it is a managed relational database that is not serverless in the same sense and does not natively provide real-time sync for mobile clients. App Engine (E) is a managed application platform, but it is not a database or object storage service and is not needed for this serverless backend architecture.

Answer

Cloud SQL

Answer

App Engine

Question 8

A developer wants to deploy a containerised web application that can scale to zero when not in use, and only pay for actual request processing time. Which Google Cloud compute service should they choose?

Accepted Answer

Cloud Run. Cloud Run is a serverless compute platform that runs containers, scales to zero when idle, and charges per request and CPU/memory usage only during request handling. App Engine Standard can scale to zero but does not support arbitrary containers. GKE and Compute Engine are provisioned infrastructure that does not scale to zero.

Answer

App Engine Standard Environment

Answer

Google Kubernetes Engine (GKE)

Answer

Compute Engine with Preemptible VMs

Question 9

A company wants to analyse streaming data from IoT devices in real time with sub-second latency, using SQL queries. Which combination of services should they use?

Accepted Answer

Cloud Pub/Sub + Dataflow + BigQuery. Dataflow with unbounded sources (like Pub/Sub) and SQL via Beam SQL or Dataflow SQL can process streaming data with low latency. BigQuery can also stream data but with higher latency (seconds). Cloud Functions is not ideal for real-time SQL analytics. Dataproc is for batch processing.

Answer

Cloud IoT Core + Cloud Functions + Bigtable

Answer

Cloud Pub/Sub + Dataproc + Cloud Storage

Answer

Cloud Pub/Sub + Cloud Functions + Cloud SQL

Question 10

Which Google Cloud service provides a fully managed, serverless data warehouse for petabyte-scale analytics with SQL?

Accepted Answer

BigQuery. BigQuery is Google Cloud's fully managed, serverless data warehouse. It supports SQL queries at petabyte scale with no infrastructure to manage. Cloud SQL is for OLTP, Dataproc is for Hadoop/Spark, and Dataflow is for stream/batch processing.

Answer

Cloud SQL

Answer

Dataproc

Answer

Dataflow

Question 11

An organisation needs to block common web attacks like SQL injection and cross-site scripting (XSS) at the edge of Google's network, before traffic reaches their applications. Which Google Cloud service should they use?

Accepted Answer

Cloud Armor. Cloud Armor is Google's web application firewall (WAF) service that protects against web attacks at the edge. It integrates with Cloud Load Balancing and Cloud CDN. Cloud CDN caches content, Cloud Load Balancing distributes traffic, and Cloud IDS is for network threat detection.

Answer

Cloud CDN

Answer

Cloud IDS

Answer

Cloud Load Balancing

Question 12

A developer wants to trigger a serverless function whenever a new object is uploaded to a Cloud Storage bucket. Which Google Cloud service should they use?

Accepted Answer

Cloud Functions. Cloud Functions is an event-driven serverless compute service that can be triggered by Cloud Storage events such as object finalise/create. Cloud Run can also be triggered by events via Eventarc, but Cloud Functions is the simpler choice for small code snippets triggered by events. Dataflow and App Engine are not designed for event-triggered functions from Cloud Storage.

Answer

Cloud Run

Answer

App Engine

Answer

Dataflow

Question 13

A data analyst wants to create interactive dashboards and reports using data from BigQuery, without writing code. Which Google Cloud BI tool should they use?

Accepted Answer

Looker Studio. Looker Studio is a free, self-service BI tool that allows users to create interactive dashboards and reports from various data sources including BigQuery, with a drag-and-drop interface. Looker is a more advanced enterprise BI platform. Data Studio is the former name; it is now Looker Studio. Dataflow is for data processing.

Answer

Data Studio

Answer

Dataflow

Answer

Looker

Question 14

A company has a batch processing job that reads data from Cloud Storage, transforms it, and writes to BigQuery. The job runs nightly and takes approximately 2 hours. The team wants to reduce costs by using a managed service that automatically provisions and de-provisions resources. Which service should they use?

Accepted Answer

Dataflow. Dataflow is a fully managed, serverless Apache Beam service that automatically provisions and de-provisions workers based on the job's workload, making it the best fit for a nightly 2-hour batch job where the team wants to avoid managing infrastructure. It supports batch and streaming, integrates natively with Cloud Storage and BigQuery, and charges only for the resources used during execution. This aligns exactly with the requirement to reduce cost through automatic resource lifecycle management.

Answer

Cloud Composer

Answer

Cloud Functions

Answer

Dataproc

Question 15

A DevOps team wants to automatically build a Docker image from a GitHub repository and store it in a private registry whenever a new tag is pushed. Which Google Cloud services should they combine?

Accepted Answer

Cloud Build and Artifact Registry. Cloud Build is Google Cloud's fully managed CI/CD service that can be triggered by GitHub tag pushes via Cloud Build triggers. Artifact Registry is the modern, recommended private registry for storing Docker images (and other artifacts), replacing the older Container Registry. Together, they provide an automated build-and-store pipeline: Cloud Build builds the image from the GitHub repo, and Artifact Registry stores it privately.

Answer

Cloud Build and Container Registry

Answer

Cloud Source Repositories and Container Registry

Answer

Cloud Functions and Artifact Registry