PCD Practice Test 7 — 10 Questions

Question 1

A company wants to deploy a containerized application to Cloud Run. Which two approaches are supported? (Choose two.)

Accepted Answer

Use gcloud beta run deploy with --source flag to build and deploy from source. Option A is correct because Cloud Run supports source-based deployments via the `gcloud beta run deploy --source` flag, which uses Cloud Build (with buildpacks) to automatically build the container image from source code and deploy it to Cloud Run. Option E is correct because the standard container-based workflow is to build the image locally with Docker, push it to a registry such as Artifact Registry (or Container Registry), and then deploy it using `gcloud run deploy --image` referencing that image. Option B is incorrect because Cloud Functions is a separate serverless product for functions, not a mechanism for packaging and deploying containers to Cloud Run. Option C is incorrect because the Cloud Run console does not accept a Dockerfile for server-side building; builds from source are done via gcloud/Cloud Build, not by uploading a Dockerfile to the console. Option D is incorrect because deploying to Kubernetes Engine (GKE) and then migrating is not a supported Cloud Run deployment approach; Cloud Run deploys containers directly from a registry or source.

Answer

Use Cloud Functions to package the container as a function

Answer

Upload a Dockerfile to Cloud Run console and let it build

Answer

Use Kubernetes Engine to deploy the container and then migrate to Cloud Run

Question 2

A company is deploying a global microservices application on Cloud Run. They need to design for high availability, scalability, and low latency. Which three practices should they implement? (Choose three.)

Accepted Answer

Enable Cloud CDN for caching static assets.. Cloud CDN caches static assets at Google's global edge locations, reducing latency for users worldwide and offloading requests from Cloud Run. This improves performance for static content like images, CSS, and JavaScript, which is essential for a global microservices application requiring low latency.

Answer

Use Cloud Scheduler to trigger services periodically.

Answer

Set a limit on the number of Cloud Run containers per revision to control costs.

Question 3

A company runs a batch job that processes large files from Cloud Storage every night. The job must complete within a 2-hour window. If the job fails, it should retry automatically. Which Google Cloud service should they use to orchestrate this job?

Accepted Answer

Cloud Composer. Cloud Composer (D) is the correct choice because it is a fully managed workflow orchestration service built on Apache Airflow, designed to schedule, monitor, and retry batch jobs with complex dependencies. It can trigger a Cloud Storage file processing job, enforce a 2-hour execution window, and automatically retry on failure using Airflow's built-in retry mechanisms and SLA monitoring.

Answer

Compute Engine with startup script

Answer

Cloud Run

Answer

App Engine Cron

Question 4

A company is designing a real-time leaderboard for a mobile gaming application. The leaderboard must support millions of concurrent users updating their scores and querying rankings with low latency (under 100ms). Scores change frequently and require strong consistency for reads. The development team is evaluating Cloud SQL and Cloud Spanner. They estimate they need to handle 100,000 writes per second. Which database should they choose and why?

Accepted Answer

Cloud Spanner because it provides horizontal scaling, strong consistency, and high write throughput.. Cloud Spanner is the correct choice because it provides horizontal scaling with strong consistency and can handle 100,000 writes per second while maintaining ACID transactions and low-latency reads. Unlike Cloud SQL, Spanner scales horizontally across nodes without sacrificing consistency, making it ideal for a real-time leaderboard with millions of concurrent users.

Answer

Cloud Firestore because it offers real-time synchronization and is serverless.

Answer

Cloud Bigtable because it's optimized for high write throughput and time-series data.

Answer

Cloud SQL with read replicas because it's cost-effective and supports ACID transactions.

Question 5

A developer needs to connect a Cloud SQL MySQL instance from an application running on Compute Engine without whitelisting IP addresses. Which method should they use?

Accepted Answer

Configure the application to use Cloud SQL Auth Proxy.. Cloud SQL Auth Proxy provides secure, IAM-authenticated connectivity to a Cloud SQL instance without requiring authorized networks (IP whitelisting) or manual SSL certificate management. The proxy runs locally (or as a sidecar) and establishes an encrypted tunnel to the instance, so the application connects to localhost and the proxy handles authentication and encryption. This directly satisfies the requirement of connecting without whitelisting IP addresses.

Answer

Connect via Cloud Shell using the mysql client.

Answer

Set up a Cloud SQL private IP connection.

Answer

Use SSL/TLS connection with the public IP address.

Question 6

Match each Firebase feature to its description.

Accepted Answer

Cloud Firestore: A NoSQL document database for storing and syncing data in real time.. Firebase features include Cloud Firestore (NoSQL database), Authentication (user login), and Cloud Functions (backend code). Common confusions: mixing NoSQL vs relational, and hosting vs functions.

Answer

Cloud Firestore: A relational database with SQL queries for structured data.

Answer

Firebase Hosting: A Firebase feature for running backend code in response to events.

Question 7

A company is migrating an on-premises PostgreSQL database to Cloud SQL for PostgreSQL. They need to minimize downtime and ensure continuous replication during the cutover. Which Google Cloud service should they use to achieve continuous change data capture (CDC)?

Accepted Answer

Database Migration Service (DMS). Database Migration Service (DMS) supports continuous change data capture (CDC) for PostgreSQL migrations to Cloud SQL by using PostgreSQL's native logical replication. This allows DMS to replicate ongoing changes from the source to the target with minimal downtime, enabling a near-zero-downtime cutover by simply promoting the Cloud SQL instance as the new primary.

Answer

Cloud Data Fusion

Answer

Dataproc

Answer

Cloud Memorystore

Question 8

A company needs a globally distributed, strongly consistent relational database with horizontal scaling and a 99.999% SLA for a financial application. Which Google Cloud database should they choose?

Accepted Answer

Cloud Spanner. Cloud Spanner is the correct choice because it provides a globally distributed, strongly consistent relational database with horizontal scaling and a 99.999% SLA. It combines the benefits of relational database structure (ACID transactions and SQL queries) with horizontal scalability across regions, making it ideal for financial applications that require strict consistency and high availability.

Answer

Cloud SQL

Answer

Cloud Bigtable

Answer

Firestore

Question 9

Which Google Cloud database service is designed as a fully managed, in-memory data store for caching, session management, and pub/sub messaging?

Accepted Answer

Memorystore. Memorystore is Google Cloud's fully managed in-memory data store service, offering Redis and Memcached engines. It is designed for caching, session management, and pub/sub messaging (Redis supports pub/sub), making it the correct match for the described use case.

Answer

Cloud SQL

Answer

Firestore

Answer

Bigtable

Question 10

Which service provides serverless change data capture (CDC) from MySQL and PostgreSQL to BigQuery or Cloud Storage without writing code?

Accepted Answer

Datastream. Datastream is Google Cloud's serverless change data capture (CDC) service that replicates data from MySQL, PostgreSQL, Oracle, and SQL Server into BigQuery or Cloud Storage with minimal configuration and no code. It reads the source database's transaction logs (binlog for MySQL, WAL for PostgreSQL) and streams changes continuously. This matches the question's requirement exactly.

Answer

BigQuery Data Transfer Service

Answer

Cloud Functions

Answer

Dataflow