Google Associate Cloud Engineer Exam Companion: Q&A with Explanations

CONTENTS

(Multiple-Choice Questions with Detailed Explanations)

TEST 1( Q 1- Q 50)

TEST 2( Q 51- Q 100)

TEST 3( Q 101- Q 150)

TEST 4( Q 151- Q 200)

TEST 5( Q 201- Q 250)

TEST 6( Q 251- Q 300)

Introduction :

Welcome to Google Associate Cloud Engineer Exam Companion: Q&A with Explanations, your ultimate resource for achieving excellence in the Google Associate Cloud Engineer certification exam. This comprehensive guide is designed to be your trusted companion on the journey to mastering Google Cloud Platform (GCP) services, cloud computing concepts, and engineering best practices.

In today's rapidly evolving cloud computing landscape, the Google Associate Cloud Engineer certification is a highly valued credential that validates your expertise in designing, building, and managing scalable, secure, and efficient cloud systems. This book is meticulously crafted to provide you with the knowledge, confidence, and practical insights needed to excel in the exam and thrive as a Google Associate Cloud Engineer.

Through a unique Q&A format paired with detailed explanations, Google Associate Cloud Engineer Exam Companion delves into the core concepts of GCP services, cloud security, data analytics, machine learning, and cloud engineering. With 300 expertly crafted questions and 6 practice exams mirroring the actual exam experience, this guide is tailored to deepen your understanding and equip you with the tools to succeed.

Whether you're new to Google Cloud or seeking to reinforce your existing expertise, this companion guide will help you:

Master GCP services, including Compute Engine, Storage, and Networking

Understand cloud security, identity, and access management

Develop practical skills in cloud data analytics, machine learning, and AI

Analyze complex scenarios and apply cloud engineering best practices

Design and deploy scalable, secure, and efficient cloud architectures

Embark on a transformative journey of self-discovery and growth as you explore Google Cloud concepts and engineering principles. With its comprehensive coverage and practical insights, Google Associate Cloud Engineer Exam Companion empowers you to unlock a world of cloud possibilities and achieve your Google Associate Cloud Engineer certification goals.

Key Features:

300 expertly crafted questions with detailed explanations

6 practice exams simulating the actual exam experience

Comprehensive coverage of GCP services, cloud security, data analytics, and machine learning

Real-world scenarios and applications

Practical insights and expert guidance

Get ready to pass the Google Associate Cloud Engineer exam with confidence!

About the Book

This book is ideal for:

Cloud engineers

DevOps professionals

Cloud architects

IT professionals

Anyone seeking to pass the Google Associate Cloud Engineer certification exam

What You'll Learn

GCP services (Compute Engine, Storage, Networking, etc.)

Cloud security (IAM, Identity, Access Management)

Cloud data analytics (BigQuery, Data Studio)

Machine learning (Cloud AI Platform, TensorFlow)

Cloud engineering best practices

Let this companion guide be your trusted ally on the path to Google Associate Cloud Engineer success!

PRACTICE TEST - 1

Question 1

You are tasked with designing a cloud-based architecture for a web application that handles sensitive user data. The application requires secure data storage, scalability, and high availability. You decide to use Cloud Storage buckets for storing user uploads. However, you need to ensure that only authorized users can access their respective uploads.

Which of the following options would you choose to implement fine-grained access control on Cloud Storage buckets?

A) Use Identity and Access Management (IAM) roles and assign them to specific users.

B) Implement bucket-level permissions using Access Control Lists (ACLs).

C) Utilize signed URLs with custom expiration times for user-specific access.

D) Enable Object Versioning and use retention policies for access control.

Answer: C) Utilize signed URLs with custom expiration times for user-specific access.

Explanation:

Signed URLs provide time-limited access to specific objects in Cloud Storage, allowing fine-grained access control. This option ensures that only authorized users can access their uploads. IAM roles (A) are more coarse-grained and apply to entire buckets or projects. ACLs (B) are legacy access control mechanisms, not recommended for new applications. Object Versioning (D) is used for data protection and retention, not access control.

Question 2

A company is migrating its on-premises application to the cloud. The application consists of a web server, application server, and database server. The web server receives incoming traffic, which is then distributed to the application server for processing. The application server connects to the database server to retrieve and update data.

You are tasked with designing a scalable and secure cloud architecture. You decide to use Cloud Load Balancing for distributing incoming traffic.

Which of the following additional components would you include in your design to ensure secure communication between the web server and application server?

A) Cloud Armor and SSL/TLS certificates.

B) Cloud VPN and Identity-Aware Proxy.

C) Cloud Interconnect and internal load balancing.

D) Google Cloud Firewall Rules and SSL/TLS certificates.

Answer: D) Google Cloud Firewall Rules and SSL/TLS certificates.

Explanation:

To ensure secure communication between the web server and application server, you need to implement firewall rules to control traffic and encrypt data in transit using SSL/TLS certificates. Cloud Armor (A) provides DDoS protection, but not encryption. Cloud VPN (B) is used for secure connectivity to on-premises networks. Cloud Interconnect (C) provides dedicated network connectivity, but not encryption or firewall control.

QUESTION 3

A healthcare company is developing a cloud-based application to process medical images. The application uses Cloud Storage for image storage and Cloud Dataflow for image processing. The processing pipeline is latency-sensitive and requires real-time processing.

To optimize performance and minimize latency, which of the following options would you recommend for deploying the Cloud Dataflow pipeline?

A) Deploy Cloud Dataflow pipeline in a regional cluster with autoscaling enabled.

B) Deploy Cloud Dataflow pipeline in a global cluster with manual scaling.

C) Deploy Cloud Dataflow pipeline using Cloud Functions with HTTP trigger.

D) Deploy Cloud Dataflow pipeline using Cloud Run with CPU allocation optimized.

Answer: A) Deploy Cloud Dataflow pipeline in a regional cluster with autoscaling enabled.

Explanation:

Deploying the Cloud Dataflow pipeline in a regional cluster with autoscaling enables real-time processing, minimizes latency, and optimizes performance. Regional clusters provide lower latency and better performance compared to global clusters (B). Cloud Functions (C) are suitable for event-driven processing, not real-time image processing. Cloud Run (D) is a containerized platform, not optimized for data processing pipelines.

Question 4

A financial services company is migrating its database to Cloud SQL. The database requires high availability, data encryption, and point-in-time recovery.

To meet these requirements, which of the following options would you configure in Cloud SQL?

A) Enable automatic backups, binary logging, and SSL/TLS encryption.

B) Configure read replicas, multi-zone deployment, and Cloud KMS encryption.

C) Set up Cloud SQL instances with private IP, Cloud Armor protection, and automated patching.

D) Implement Cloud SQL proxy, Cloud Storage backup, and Identity-Aware Proxy.

Answer: B) Configure read replicas, multi-zone deployment, and Cloud KMS encryption.

Explanation:

To meet the requirements, you should configure read replicas for high availability, multi-zone deployment for redundancy, and Cloud KMS encryption for data encryption. Automatic backups (A) provide point-in-time recovery, but not high availability or encryption. Binary logging (A) is used for replication, not encryption. Cloud Armor (C) provides DDoS protection, not encryption or high availability. Cloud SQL proxy (D) provides secure connectivity, but not encryption or high availability.

Question 5

A company is building a cloud-based e-commerce platform using microservices architecture. The platform consists of multiple services, including order processing, inventory management, and payment processing. Each service communicates with others through RESTful APIs.

To ensure reliable and scalable communication between services, which of the following options would you recommend?

A) Implement API Gateway with OAuth 2.0 authentication and rate limiting.

B) Use Cloud Tasks for asynchronous communication and Cloud Pub/Sub for event-driven architecture.

C) Deploy Cloud Load Balancing with internal load balancing and SSL/TLS termination.

D) Configure Cloud Endpoints with OpenAPI specification and Cloud CDN for caching.

Answer: A) Implement API Gateway with OAuth 2.0 authentication and rate limiting.

Explanation:

API Gateway provides a scalable and secure entry point for APIs, OAuth 2.0 authentication ensures secure access, and rate limiting prevents abuse. Cloud Tasks (B) is suitable for asynchronous tasks, not API communication. Cloud Load Balancing (C) is used for load distribution, not API management. Cloud Endpoints (D) is a legacy API management service, and Cloud CDN (D) is used for content caching, not API communication.

Question 6

A data analytics company is building a cloud-based data warehouse using BigQuery. The company wants to integrate BigQuery with its on-premises data center for real-time data synchronization.

To establish a secure and reliable connection between BigQuery and the on-premises data center, which of the following options would you recommend?

A) Use Cloud VPN with site-to-site VPN and static routing.

B) Implement Cloud Interconnect with Dedicated Interconnect and VLAN attachments.

C) Configure Cloud Data Fusion with SSH tunneling and SSL/TLS encryption.

D) Deploy Cloud Dataflow with public IP and TCP proxy.

Answer: B) Implement Cloud Interconnect with Dedicated Interconnect and VLAN attachments.

Explanation:

Cloud Interconnect provides a dedicated, high-bandwidth connection between BigQuery and the on-premises data center. Dedicated Interconnect ensures reliable and secure connectivity, while VLAN attachments enable secure segmentation. Cloud VPN (A) provides secure connectivity, but may have latency and throughput limitations. Cloud Data Fusion (C) is an integration service, not a connectivity solution. Cloud Dataflow (D) is a data processing service, not a connectivity solution.

Question 7

You are tasked with enabling the Cloud Vision API for a project. However, you encounter an error stating that the API is not enabled for the project.

To resolve this issue, which of the following steps would you take?

A) Go to the Cloud Console, navigate to the API Library