Cloud Digital Leader Google Cloud Products and Services Practice Test 6 — 15 Questions

Question 1

A team is using Cloud Build to build container images and push them to Artifact Registry. The build process involves sensitive dependencies that should not be exposed to the internet. The team wants to ensure that all builds execute on a private network without public IP addresses. What should the team configure?

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

Accepted Answer

Use a private pool in Cloud Build. Cloud Build supports private pools that provide workers in a customer-managed VPC network, allowing builds to run without public IP addresses and access internal resources. Connecting the project to a shared VPC only enables network access but workers still have public IPs unless private pools are used. Using Artifact Registry VPC-SC perimeters helps secure the registry but not the build workers. Cloud NAT provides outbound internet but does not remove public IPs from workers.

Answer

Set up Cloud NAT for the Cloud Build workers

Answer

Configure Artifact Registry with VPC Service Controls

Answer

Connect the Cloud Build service account to a shared VPC

Question 2

A company wants to monitor the CPU and memory utilisation of their Compute Engine instances and set up alerts when utilisation exceeds 80%. Which Google Cloud service should they use?

Accepted Answer

Cloud Monitoring. Cloud Monitoring (formerly Stackdriver) collects metrics from GCP resources, including CPU and memory utilisation, and allows creation of alerting policies. Cloud Logging is for logs, Cloud Trace is for tracing, and Cloud Error Reporting is for error analysis.

Answer

Cloud Logging

Answer

Cloud Error Reporting

Answer

Cloud Trace

Question 3

An organisation is migrating its on-premises Oracle database to Google Cloud. They need a fully managed, PostgreSQL-compatible database with high performance for transaction processing and built-in AI capabilities for predictive analytics. Which database service should they choose?

Accepted Answer

AlloyDB. AlloyDB is a fully managed PostgreSQL-compatible database that offers high performance (4x faster than standard PostgreSQL) and integrated AI capabilities for vector search and predictive analytics. Cloud SQL for PostgreSQL is also managed but lacks the AI optimisations. Cloud Spanner is globally distributed but not PostgreSQL-compatible. Bare Metal Solution runs Oracle on dedicated hardware, not managed.

Answer

Bare Metal Solution for Oracle

Answer

Cloud SQL for PostgreSQL

Answer

Cloud Spanner

Question 4

A company runs a stateful web application on Compute Engine. They need to ensure that persistent data is retained if an instance fails, and that traffic is automatically distributed across healthy instances. Which TWO Google Cloud services should they use? (Choose 2)

Accepted Answer

Persistent Disk. Persistent Disk provides durable block storage that can be attached to Compute Engine instances, retaining data even if the instance terminates. Cloud Load Balancing distributes traffic across a managed instance group and automatically routes traffic away from failed instances. Cloud DNS resolves domain names but does not provide load balancing. Cloud CDN caches content. Cloud NAT is for outbound connectivity.

Answer

Cloud DNS

Answer

Cloud CDN

Answer

Cloud NAT

Question 5

A data scientist needs to build a custom machine learning model using TensorFlow on Google Cloud. The training data is stored in Cloud Storage and is hundreds of gigabytes. The data scientist wants to use a managed service that handles hyperparameter tuning and distributed training without managing infrastructure. Which TWO services can be used together to achieve this? (Choose 2)

Accepted Answer

Vertex AI Training. Vertex AI Training is a managed service for training ML models, supporting distributed training and hyperparameter tuning. Vertex AI Workbench is a Jupyter-based notebook environment for prototyping. Cloud Functions is for event-driven code, not ML training. Cloud Run is for containers. BigQuery ML allows building models using SQL but is limited to simple models.

Answer

BigQuery ML

Answer

Cloud Functions

Answer

Cloud Run

Question 6

A company wants to implement a data pipeline that ingests streaming events from a global user base, processes them in real-time to detect anomalies, and stores the results in a database for low-latency querying. The solution must be fully managed. Which THREE services should they use? (Choose 3)

Accepted Answer

Dataflow. Pub/Sub ingests streaming events with global scalability. Dataflow processes events in real-time with exactly-once semantics. Bigtable provides low-latency access for storing and querying processed results. Cloud Storage is for object storage, not low-latency queries. Cloud SQL is for relational OLTP but may not match Bigtable's throughput for anomaly detection results. Cloud Functions is not suited for continuous stream processing.

Answer

Cloud Storage

Answer

Cloud Functions

Question 7

A startup wants to deploy a containerized web application that can scale to zero during periods of no traffic, and they want to minimize operational overhead. Which Google Cloud compute service is the BEST fit?

Accepted Answer

Cloud Run. Cloud Run is a serverless container platform that automatically scales your containers up and down, including scaling to zero when there is no traffic. It abstracts away infrastructure management, making it ideal for this use case.

Answer

App Engine Flexible Environment

Answer

Google Kubernetes Engine (GKE)

Answer

Compute Engine with managed instance groups

Question 8

A company runs a batch processing workload every night that can tolerate interruptions. The workload runs on Compute Engine VMs and takes 2 hours to complete. They want to reduce costs. Which VM pricing model should they use?

Accepted Answer

Preemptible VMs. Preemptible VMs offer significant cost savings (up to 80% discount) but can be terminated at any time. Since the workload is batch and can tolerate interruptions, this is the most cost-effective choice.

Answer

Committed use discounts

Answer

Sole-tenant nodes

Answer

Sustained use discounts

Question 9

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 10

A data analyst needs to run ad-hoc SQL queries on a large dataset stored in Cloud Storage. The data is in CSV format and does not require real-time results. Which Google Cloud service should they use?

Accepted Answer

BigQuery. BigQuery supports external data sources; you can create an external table pointing to CSV files in Cloud Storage and run SQL queries without loading the data. This is ideal for ad-hoc analysis on existing data.

Answer

Dataflow

Answer

Cloud SQL

Answer

Cloud Dataproc

Question 11

Which Google Cloud service is a fully managed, serverless data warehouse for analytics with built-in ML capabilities (e.g., BigQuery ML)?

Accepted Answer

BigQuery. BigQuery is a serverless data warehouse that supports standard SQL, scales automatically, and includes BigQuery ML for creating ML models using SQL.

Answer

Cloud SQL

Answer

Firestore

Answer

Cloud Spanner

Question 12

An organization needs to store archival data that must be retained for 10 years and is accessed less than once a year. Which Cloud Storage class offers the lowest storage cost?

Accepted Answer

Archive. Archive storage is the lowest-cost storage class for long-term retention, with a 365-day minimum storage duration and higher retrieval costs.

Answer

Standard

Answer

Coldline

Answer

Nearline

Question 13

A company uses Cloud SQL for MySQL and needs to migrate to a PostgreSQL-compatible database that offers improved performance for AI workloads (e.g., vector embeddings). Which Google Cloud database is MOST suitable?

Accepted Answer

AlloyDB. AlloyDB is a PostgreSQL-compatible database that is optimized for high performance and features like vector embeddings for AI, making it ideal for this migration.

Answer

Cloud SQL for PostgreSQL

Answer

Cloud Spanner

Answer

Bigtable

Question 14

A developer wants to trigger a serverless function in response to a file being 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 (e.g., object finalize).

Answer

Compute Engine

Answer

Cloud Run

Answer

App Engine

Question 15

Which Google Cloud service provides a managed Redis or Memcached in-memory data store for caching and low-latency data access?

Accepted Answer

Memorystore. Memorystore is the fully managed in-memory data store service for Redis and Memcached, used for caching and low-latency access.

Answer

Firestore

Answer

Bigtable

Answer

Cloud SQL