Cloud Digital Leader Google Cloud products, services, and solutions Practice Test 5 — 15 Questions

Question 1

Drag and drop the steps to deploy a containerized application to Google Kubernetes Engine (GKE) into the correct order.

Question 2

Drag and drop the steps to set up a Cloud CDN for a backend bucket in the correct order.

Question 3

Match each Google Cloud AI/ML term to its definition.

Question 4

Match each Google Cloud migration term to its description.

Question 5

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 6

A data analytics team needs to run a one-time transformation on 10 TB of data stored in Cloud Storage, then load the results into BigQuery. The transformation is a custom Java application that reads files, processes them, and writes to a new location. Which service should they use to minimize operational overhead?

Accepted Answer

Dataproc Serverless with Spark job. Option C (Dataproc Serverless with Spark job) is correct because it provides a fully managed, serverless execution environment for running custom Java transformations on large datasets (10 TB) without provisioning or managing clusters. Dataproc Serverless automatically scales resources based on the job's needs, minimizing operational overhead while supporting Spark jobs that can read from Cloud Storage and write results to BigQuery.

Answer

Cloud Dataflow with Apache Beam Java SDK

Answer

Google Kubernetes Engine (GKE) with a custom container

Answer

Cloud Functions triggered by Cloud Storage events

Question 7

A startup wants to run a containerized web application that scales to zero when not in use, and only pay for the time the container is processing requests. Which Google Cloud compute service should they choose?

Accepted Answer

Cloud Run. Cloud Run is the correct choice because it is a fully managed serverless compute platform that automatically scales your containerized application to zero when there are no incoming requests. You are billed only for the resources consumed during request processing, measured in 100-millisecond increments, which aligns perfectly with the requirement to pay only for active processing time.

Answer

Google Kubernetes Engine (GKE)

Answer

App Engine Standard Environment

Answer

Compute Engine with autoscaling

Question 8

A company uses Cloud SQL for PostgreSQL and needs to run complex analytical queries on the same dataset without affecting the performance of the transactional database. What should they do?

Accepted Answer

Create read replicas of the Cloud SQL instance and run queries on the replicas. Option D is correct because using Cloud SQL read replicas offloads read-only queries from the primary instance. Option A is wrong because BigQuery is for data warehousing, not real-time replication. Option B is wrong because exporting to Cloud Storage is not for live queries. Option C is wrong because increasing machine type may not isolate analytical loads.

Answer

Schedule periodic exports to Cloud Storage and query with BigQuery

Answer

Upgrade the Cloud SQL instance to a higher machine type

Answer

Use BigQuery to directly query Cloud SQL via federated queries

Question 9

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 10

A company wants to store archival data that must be retained for 10 years. The data is accessed less than once a year. Which Cloud Storage class is the most cost-effective?

Accepted Answer

Archive Storage. Archive Storage is the most cost-effective option for data that must be retained for 10 years and is accessed less than once a year. This class offers the lowest storage cost among Google Cloud Storage classes, specifically designed for long-term preservation of data that is rarely accessed, with a minimum storage duration of 365 days and higher retrieval costs that are acceptable given the infrequent access pattern.

Answer

Standard Storage

Answer

Nearline Storage

Answer

Coldline Storage

Question 11

A company uses BigQuery for analytics and needs to enforce row-level security based on user department. Only users from the 'Sales' department should see rows where department = 'Sales'. Which BigQuery feature should they use?

Accepted Answer

Row-level access policies using a filter on the department column. Option B is correct because BigQuery row-level access policies allow filtering rows based on conditions. Option A is wrong because column-level security hides columns, not rows. Option C is wrong because authorized views are for sharing data across projects. Option D is wrong because IAM roles are for access control at the table/dataset level, not row-level.

Answer

Custom IAM roles with fine-grained permissions

Answer

Column-level security with classification tags

Answer

Authorized views with a WHERE clause

Question 12

A developer is building a mobile backend that receives thousands of events per second from IoT devices. The events must be processed in real time and then stored for analysis. Which set of services should they use?

Accepted Answer

Cloud Pub/Sub -> Cloud Dataflow -> BigQuery. Option A is correct because Cloud Pub/Sub provides a scalable, fully managed message ingestion service for high-throughput event streams, Cloud Dataflow (based on Apache Beam) enables real-time stream processing with exactly-once semantics and low latency, and BigQuery offers a serverless data warehouse for fast analytical queries on the processed data. This combination handles the requirements of real-time processing and subsequent storage for analysis without operational overhead.

Answer

Cloud IoT Core -> Cloud Storage -> Dataproc

Answer

Cloud Pub/Sub -> Cloud Storage -> BigQuery

Answer

Cloud Pub/Sub -> Cloud Functions -> Cloud SQL

Question 13

A company wants to migrate a legacy monolithic application to Google Cloud with minimal code changes. The application runs on a specific OS version and uses a relational database. Which migration approach is most suitable?

Accepted Answer

Lift and shift to Compute Engine and Cloud SQL. Option C is correct because 'Lift and shift' (rehosting) moves the application with minimal changes. Option A is wrong because refactoring requires code changes. Option B is wrong because replatforming may require changes to the platform. Option D is wrong because rebuilding is a complete rewrite.

Answer

Rebuild the application using serverless functions

Answer

Refactor the application into microservices

Answer

Replatform to use Cloud Run

Question 14

A company is deploying a global web application with static content (images, CSS, JS) and dynamic API calls. They want to reduce latency for users worldwide. Which TWO services should they combine? (Choose 2)

Accepted Answer

Cloud CDN. Cloud CDN (option B) caches static content (images, CSS, JS) at Google's globally distributed edge points of presence (PoPs), reducing latency for users by serving content from a location closer to them. The External HTTP(S) Load Balancer (option C) is required to front the application and integrate with Cloud CDN, providing global anycast IP, SSL termination, and traffic distribution to backend instances. Together, they enable low-latency delivery of both static and dynamic content by combining edge caching with intelligent load balancing.

Answer

Cloud VPN

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Cloud Armor

Answer

Cloud DNS

Question 15

A company uses Cloud Spanner for a global application. They need to ensure high availability and disaster recovery across regions. Which TWO actions should they take? (Choose 2)

Accepted Answer

Schedule regular backups using Cloud Spanner backup feature. Option B is correct because Cloud Spanner's built-in backup feature allows you to create consistent backups of your database without impacting performance, and these backups can be restored to a different region for disaster recovery. This provides a reliable way to recover from regional failures or data corruption, ensuring high availability and DR across regions.

Answer

Deploy the database in a single region with backups

Answer

Configure read replicas in a different region

Answer

Use Cloud Memorystore to cache database queries