Google Cloud Certified Professional Cloud Architect Study Guide. Dan Sullivan
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could be used to run analytics applications, such as Apache Hadoop or Apache Spark, it would require more administrative overhead. Also, the team members working on this are analysts, but there is no indication that they have the skills or desire to manage analytics platforms. Option D is incorrect. Cloud Functions is for running short programs in response to events in GCP.
15 D. The correct answer is D. Shielded VMs include secure boot, which only runs digitally verified boot components.Option A is incorrect. Preemptible VMs are interruptible instances, but they cost less than standard VMs. Option B is incorrect. Managed instance groups are sets of identical VMs that are managed as a single entity. Option C is incorrect. Cloud Functions is a managed service for running programs in response to events in GCP.
16 B. The correct answer is B. gsutil is the command-line utility for working with Cloud Storage.Option A is incorrect. bq is the command-line utility for working with BigQuery. Option C is incorrect. cbt is the command-line utility for working with Cloud Bigtable. Option D is incorrect. gcloud is used to work with most GCP services but not Cloud Storage.
17 A. The correct answer is A. PersistentVolumes is Kubernetes' way of representing storage allocated or provisioned for use by a pod.Option B is incorrect. Deployments are a type of controller consisting of pods running the same version of an application. Option C is incorrect. A ReplicaSet is a controller that manages the number of pods running in a deployment. Option D is incorrect. An Ingress is an object that controls external access to services running in a Kubernetes cluster.
18 C. The correct answer is C. Use read replicas to reduce the number of reads against the primary persistent storage system that is supporting both reads and writes.Option A is incorrect. The application is designed to work with a relational database, and there is no indication that a NoSQL database is a better option overall. Option B is incorrect. Simply moving the database to a managed service will not change the number of read operations, which is the cause of the poor performance. Option D is incorrect. Moving data to Cloud Storage will not reduce the number of reads, and Cloud Storage does not support SQL.
19 C. The correct answer is C. Cloud Dataflow is an implementation of the Apache Beam stream processing framework. Cloud Dataflow is a fully managed service.Option A is incorrect. Cloud Dataprep is used to prepare data for analysis. Option B is incorrect. Cloud Dataproc is a managed Hadoop and Spark service. Option D is incorrect. Cloud Identity is an authentication service.
20 A. The correct answer is A. Cloud Logging is a centralized logging service.Option B is incorrect. Cloud Monitoring collects and manages performance metrics. Option C is incorrect. Cloud SQL is used for regional, relational databases. Option D is incorrect. Cloud Trace is a service for distributed tracing of application performance.
21 C. The correct answer is C. Cloud Spanner is a globally scalable, strongly consistent relational database that can be queried using SQL.Option A is incorrect because it will not scale to the global scale as Cloud Spanner will. Option B is incorrect. The requirements describe an application that will likely have frequent updates and transactions. BigQuery is designed for analytics and data warehousing. Option D is incorrect. Cloud Dataflow is a stream and batch processing service.
22 A. The correct answer is A. Cloud Firestore is a managed document NoSQL database in GCP.Option B is incorrect. Cloud Storage is an object storage system, not a document NoSQL database. Option C is incorrect. Cloud Dataproc is a managed Hadoop and Spark service. Option D is incorrect. Cloud Bigtable is a wide-column NoSQL database, not a document database.
23 B. The correct answer is B. Cloud CDN is GCP's content delivery network, which distributes static content globally.Option A is incorrect. Reading from regional storage can still have long latencies for readers outside of the region. Option C is incorrect. Firewall rules do not impact latency in any discernible way. Option D is incorrect because VPNs are used to link on-premises networks to Google Cloud.
24 C. The correct answer is C. VPC peering allows different VPCs to communicate using private networks.Option A is incorrect. ReplicaSets are used in Kubernetes; they are not related to VPCs. Option B is incorrect. Custom subnets define network address ranges for regions. Option D is incorrect. Firewall rules control the flow of network traffic.
25 B. The correct answer is B. With a mirrored topology, the public cloud and private on-premises environments mirror each other.Option A is incorrect. In a mesh topology, all systems in the cloud and private networks can communicate with each other. Option C is incorrect. In a gated egress topology, on-premises service APIs are made available to applications running in the cloud without exposing them to the public Internet. Option D is incorrect. In a gated ingress topology, cloud service APIs are made available to applications running on-premises without exposing them to the public Internet.
Chapter 1 Introduction to the Google Professional Cloud Architect Exam
PROFESSIONAL CLOUD ARCHITECT CERTIFICATION EXAM OBJECTIVES COVERED IN THIS CHAPTER INCLUDE THE FOLLOWING:
Section 1: Designing and planning a cloud solution architecture1.1 Designing a solution infrastructure that meets business requirements. Considerations include:Business use cases and product strategyCost optimizationSupporting the application designIntegration with external systemsMovement of dataDesign decision tradeoffsBuild, buy, modify, or deprecateSuccess measurements (e.g., Key Performance Indicators (KPI), Return on Investment (ROI), metrics)Compliance and observability
This Study Guide is designed to help you acquire the technical knowledge and analytical skills that you will need to pass the Google Cloud Professional Architect certification exam. This exam is designed to evaluate your skills for assessing business requirements, identifying technical requirements, and mapping those requirements to solutions using Google Cloud products, as well as monitoring and maintaining those solutions. This breadth of topics alone is enough to make this a challenging exam. Add to that the need for soft skills, such as working with colleagues in order to understand their business requirements, and you have an exam that is difficult to pass.
The Google Cloud Professional Architect exam is not a body of knowledge exam. You can know Google Cloud product documentation in detail, memorize most of what you read in this guide, and view multiple online courses, but that will not guarantee that you pass the exam. You will be required to exercise judgment. You will have to understand how business requirements constrain your options for choosing a technical solution. You will be asked the kinds of questions a business sponsor might ask about implementing their project.
This chapter will review the following:
Exam objectives
Scope of the exam
Case studies written by Google and used as the basis for some exam questions
Additional resources to help in your exam preparation
Exam Objectives
The Google Cloud Professional Cloud Architect exam will test your architect skills, including the following:
Planning cloud solutions
Managing and provisioning cloud solutions
Securing systems and processes
Analyzing and optimizing technical and business processes
Managing implementations
Ensuring solution and operations reliability
It is clear from the exam objectives that the test covers the full lifecycle of solution development from inception and planning through monitoring and maintenance.
Analyzing Business Requirements
An architect starts the planning phase by collecting information, starting with business requirements. You might be tempted to start with technical