Cloud Digital Leader Google Cloud products, services, and solutions Practice Test 2 — 15 Questions

Question 1

A company wants to send transactional emails (receipts, password resets) and marketing emails at scale from their application. Which approach is recommended when using Google Cloud?

Accepted Answer

Integrate a third-party email delivery service (e.g., SendGrid, Mailgun) with the GCP application.. Option B is correct because Google Cloud does not provide a native transactional email service, so integrating a dedicated third-party email delivery service like SendGrid or Mailgun is the recommended approach. These services handle deliverability, reputation management, and compliance with email standards (e.g., SPF, DKIM, DMARC), which are critical for high-volume transactional and marketing emails. Using GCP's native services like Cloud Functions or App Engine to send emails directly would rely on SMTP relays that often have strict sending limits and poor deliverability.

Answer

Use Gmail to manually send all transactional emails.

Answer

Use BigQuery to store and send emails directly to customers.

Answer

Deploy an SMTP server on Compute Engine and send emails directly from GCP IP addresses.

Question 2

A data engineering team needs to orchestrate a complex data pipeline that involves multiple steps: extracting data from various sources, transforming it with Dataflow, loading it into BigQuery, and running validation jobs — all in a specific sequence with retry logic and scheduling. Which Google Cloud service manages this workflow orchestration?

Accepted Answer

Cloud Composer (managed Apache Airflow). Cloud Composer is a managed Apache Airflow service that provides workflow orchestration, including dependency management, retry logic, and scheduling for complex pipelines. It allows you to define a DAG (Directed Acyclic Graph) that sequences tasks like Dataflow extraction, BigQuery loading, and validation jobs, with built-in retry and scheduling capabilities.

Answer

Cloud Scheduler — cron-based job scheduling.

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Cloud Dataflow — stream and batch processing.

Answer

Cloud Functions — event-driven function execution.

Question 3

A company wants its internal applications to be accessible via a custom domain name (e.g., `app.company.com`) that routes to their Google Cloud load balancer. Which Google Cloud service manages DNS records for this?

Accepted Answer

Cloud DNS. Cloud DNS is the correct service because it is Google Cloud's managed DNS service that translates human-readable domain names (like app.company.com) into IP addresses. It allows you to create and manage DNS records (such as A, CNAME, or ALIAS records) that point your custom domain to the IP address or hostname of your Google Cloud load balancer, enabling traffic routing to your internal applications.

Answer

Cloud CDN — it manages domain names for cached content.

Answer

Cloud Load Balancing — it automatically assigns domain names.

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Cloud Armor — it routes traffic based on domain names.

Question 4

A company wants to use Google Cloud's Generative AI capabilities to build an internal assistant that can answer questions about company policies using documents stored in Google Drive. Which Google Cloud product provides pre-built infrastructure for building this type of AI application?

Accepted Answer

Vertex AI Agent Builder with Gemini and document-grounded search (RAG).. Vertex AI Agent Builder with Gemini and document-grounded search (RAG) is correct because it provides pre-built infrastructure for building a generative AI assistant that retrieves information from enterprise documents. It combines Gemini's large language model with Retrieval-Augmented Generation (RAG) to ground answers in company policy documents stored in Google Drive, without requiring custom model training or manual infrastructure setup.

Answer

BigQuery ML — train a custom language model on company policy documents.

Answer

Cloud Natural Language API — it reads and summarizes documents automatically.

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Cloud Translation API — it translates policy documents into the user's language.

Question 5

A company currently uses Hadoop and Spark for batch data processing on a large on-premises cluster. They want to migrate these workloads to Google Cloud with minimal rewriting of existing Spark and Hadoop jobs. Which Google Cloud service is the best fit?

Accepted Answer

Cloud Dataproc — managed Apache Spark and Hadoop with minimal code changes.. Cloud Dataproc is a managed service for running Apache Spark and Hadoop clusters on Google Cloud. It supports the same open-source versions of Spark and Hadoop that the company currently uses, allowing them to migrate their existing batch processing workloads with minimal code changes. This makes it the best fit for the stated requirement of minimal rewriting.

Answer

Cloud Dataflow — it runs all Spark and Hadoop jobs natively.

Answer

BigQuery — it runs Spark SQL queries via BigQuery Spark stored procedures.

Answer

Google Kubernetes Engine — deploy Spark clusters on Kubernetes.

Question 6

A development team needs a managed relational database (MySQL or PostgreSQL) for their web application. They want automatic backups, patching, and high availability without managing a database server. Which Google Cloud service provides this?

Accepted Answer

Cloud SQL. Cloud SQL is a fully managed relational database service for MySQL, PostgreSQL, and SQL Server. It handles automated backups, patching, and high availability (via regional failover replicas) without requiring the user to manage the underlying database server, directly matching the team's requirements.

Answer

Compute Engine with a self-managed MySQL installation.

Answer

Cloud Bigtable

Answer

Cloud Storage

Question 7

A power utility company collects electricity meter readings from 10 million smart meters every 15 minutes — generating billions of rows of time-series data per year. They need to query this data to detect anomalies and patterns. Which Google Cloud database is optimized for this massive-scale time-series IoT data?

Accepted Answer

Cloud Bigtable. Cloud Bigtable is a fully managed, scalable NoSQL database designed for large analytical and operational workloads, making it ideal for ingesting and querying high-throughput time-series data from millions of IoT devices. It supports sub-10ms latency on queries, automatic sharding, and seamless integration with Google Cloud's data analytics ecosystem (e.g., BigQuery, Dataflow), which is critical for detecting anomalies and patterns across billions of rows of meter readings.

Answer

Cloud SQL (PostgreSQL)

Answer

Firestore

Answer

Cloud Storage (CSV files)

Question 8

A developer wants to run a small piece of code that resizes images whenever a new image is uploaded to Cloud Storage. The code runs for less than a second and should only be triggered by the upload event. No always-on server is needed. Which Google Cloud service is ideal?

Accepted Answer

Cloud Functions triggered by Cloud Storage object creation events.. Cloud Functions is the ideal serverless compute service for event-driven, short-lived tasks like image resizing triggered by Cloud Storage uploads. It automatically scales to zero when idle, charges only for execution time (sub-second in this case), and natively binds to Cloud Storage object creation events via the `google.storage.object.finalize` trigger, eliminating the need for any always-on infrastructure.

Answer

A Compute Engine VM that runs continuously, checking for new uploads every minute.

Answer

Cloud Run with a permanent container that listens for uploads.

Answer

BigQuery scheduled query that processes new uploads daily.

Question 9

A development team uses Cloud Build to automatically build, test, and create container images whenever code is pushed to their repository. The resulting Docker images need to be stored securely and made available to their GKE deployment pipelines. Which Google Cloud service stores and manages these container images?

Accepted Answer

Artifact Registry. Artifact Registry is the correct service because it is a fully managed, private container registry designed to store, manage, and secure Docker images and other artifacts. It integrates natively with Cloud Build for pushing images and with GKE for pulling them, supporting vulnerability scanning and IAM-based access control.

Answer

Cloud Storage bucket with a `containers/` folder.

Answer

Cloud SQL — storing build artifacts in a relational database.

Answer

Cloud Source Repositories — the code repository stores both source code and container images.

Question 10

An enterprise needs advanced business intelligence capabilities: governed semantic models that business users query with natural language, embedded analytics in their customer-facing application, and centralized data access controls. Which Google Cloud analytics product is purpose-built for these enterprise BI requirements?

Accepted Answer

Looker (enterprise BI platform with LookML semantic layer). Looker is purpose-built for enterprise BI with its LookML semantic modeling layer, which governs data definitions and access controls. It supports natural language querying through Looker's 'Ask Looker' feature and enables embedded analytics via its API and SDK, directly matching the requirements for governed semantic models, natural language queries, and embedded analytics.

Answer

Looker Studio (free BI dashboards)

Answer

BigQuery — it provides natural language querying via BQML.

Answer

Vertex AI — it builds ML models that answer business questions.

Question 11

A healthcare organization wants to build an application that ingests FHIR-formatted patient records from multiple hospital systems, normalizes them, and makes them queryable by clinical researchers. Which Google Cloud service is purpose-built for healthcare data interoperability?

Accepted Answer

Cloud Healthcare API with FHIR store support.. The Cloud Healthcare API with FHIR store support is purpose-built for healthcare data interoperability because it natively handles FHIR (Fast Healthcare Interoperability Resources) standards, including resource validation, versioning, and search. It provides a managed service that ingests, normalizes, and stores FHIR-formatted patient records from multiple hospital systems, enabling secure querying by clinical researchers without requiring custom ETL pipelines.

Answer

BigQuery — store FHIR JSON records and query them with SQL.

Answer

Cloud SQL — store patient records in a relational schema.

Answer

Google Forms — collect patient data directly from hospitals via web forms.

Question 12

A company wants to add location-based features to their mobile app: showing nearby stores, calculating driving routes, and embedding interactive maps. Which Google Cloud platform provides these mapping and location services?

Accepted Answer

Google Maps Platform. Google Maps Platform is the correct choice because it provides the specific APIs needed for location-based features: Places API for nearby stores, Directions API for driving routes, and Maps SDK for embedding interactive maps. Cloud Spanner, IoT Core, and BigQuery Geo Viz are not designed to deliver these front-end mapping and routing services.

Answer

Cloud Spanner — it stores geolocation data with ACID transactions.

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Cloud IoT Core — it tracks device locations in real time.

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BigQuery Geo Viz — it visualizes geographic data on a map.

Question 13

A company's PostgreSQL database has grown to 50 TB and their application requires near-zero downtime, automatic failover, and the ability to scale reads horizontally without the migration complexity of switching to Spanner. Which Google Cloud database product is specifically designed as a fully managed, highly scalable PostgreSQL-compatible database?

Accepted Answer

AlloyDB for PostgreSQL. AlloyDB for PostgreSQL is a fully managed, PostgreSQL-compatible database service designed for high scalability, near-zero downtime, and automatic failover. It separates compute and storage to enable horizontal read scaling with read pools, and it uses a columnar engine for analytical acceleration, making it ideal for large workloads like 50 TB without the migration complexity of Spanner.

Answer

Cloud SQL (PostgreSQL)

Answer

Cloud Spanner

Answer

Bare metal PostgreSQL on Compute Engine

Question 14

A global e-commerce company wants to build a product recommendation engine that suggests items to customers based on their real-time browsing behavior and purchase history. They want a pre-built solution that doesn't require building an ML recommendation model from scratch. Which Google Cloud product is purpose-built for retail recommendations?

Accepted Answer

Recommendations AI (Vertex AI Search for Retail). Recommendations AI (now part of Vertex AI Search for Retail) is Google Cloud's purpose-built, pre-built solution for retail product recommendations. It uses deep learning models trained on retail-specific data (e.g., clickstream, purchase history) to generate personalized suggestions without requiring the user to build or train an ML model from scratch.

Answer

BigQuery ML — build a collaborative filtering model using SQL.

Answer

Cloud SQL — query purchase history to find commonly bought-together products.

Answer

Cloud Dataflow — stream user clickstream data to build recommendations in real time.

Question 15

A team uses multiple cloud services and wants to deploy all resources — VPCs, Cloud SQL databases, GKE clusters, and IAM roles — using a declarative, open-source infrastructure-as-code tool that works across multiple cloud providers. Which tool integrates natively with Google Cloud for this purpose?

Accepted Answer

Terraform. Terraform is the correct choice because it is a declarative, open-source infrastructure-as-code tool that supports multiple cloud providers, including Google Cloud, through its provider plugin architecture. It allows you to manage VPCs, Cloud SQL databases, GKE clusters, and IAM roles using HashiCorp Configuration Language (HCL) and integrates natively with Google Cloud via the google provider.

Answer

Cloud Deployment Manager — Google's native IaC service.

Answer

Cloud Build — it builds and deploys application code.

Answer

Ansible — it automates server configuration management.