Google Cloud Platform - Professional Cloud Architect - Practice Exams - Exams by Service Category

Summary: This course provides six practice exams. Each exam focuses on a specific category of Google Cloud Platform Services.

Features: The exams will evaluate proficiency while also teaching certification material. Every question includes a detailed analysis and explanation which is provided upon exam completion. The explanations include linked references to GCPdocumentation.

The questions are arranged in a fixed order which flows from basic to advanced concepts. The categorical organization provides the ability to target and improve upon weaknesses. And the questions are ordered optimally for learning and retaining information.

Free Exams: Purchase any of the following courses and receive the other two course for FREE!

• Google Cloud Platform - Professional Cloud Architect - Practice Exams and Practice Tests

• Google Cloud Platform - Professional Cloud Architect - Practice Exams - Exams by Difficulty Level - Practice Tests

• Google Cloud Platform - Professional Cloud Architect - Practice Exams - Exams by Service Category - Practice Tests

Course Highlights:

• 6 Practice Exams

• 320 Questions Total

Overview of Topics Covered:

1. Administration - Management, Monitoring, IAM Auth, Security

2. Compute - Functions, App Engine, Compute Engine, Google Kubernetes Engine

3. Storage - File Store, Drive, Cloud Storage, Local Disk, Persistent Disk

4. Networking - VPC, Hybrid Connectivity, DNS, Load Balancer, CDN, NAT, Router

5. Data and Analytics - NoSQLDBs, Relational DBs, Big Data Products

6. Development Services - Application Services, AI Services, Development Tools

Detailed Overview of Topics Covered:

• Infrastructure

  • Compute: Functions, App Engine, Cloud Run, Compute Engine, GKE

  • Storage: Filestore, Drive, Cloud Storage, Local Disk, Persistent Disk

  • Network: VPC, Hybrid Connectivity, DNS, Load Balancers, CDN, NAT, Router

  
  

• Data Services

  • Document DBs: Datastore/Firestore, Big Table

  • Relational DBs: Cloud SQL, Spanner

  • Big Data & Analytics: Big Query, Dataprep, Data Fusion, Dataflow, Dataproc, Datalab, Data Studio, Data Catalog

  
  

• Development Services

  • Application Services: Pub/Sub, IoT Core, Composer, Apigee, Endpoints, Healthcare API, MemoryStore, Composer

  • AI: AI Platform, ML, TensorFlow, Video, Vision, Speech, Translate, Natural Language

  • Dev Tools: Cloud Source, Cloud Build, Cloud Code, Deployment Manager

  
  

• Foundations & Administration

  • Management: Geography, Interfaces, Org Struct, Billing

  • Monitoring: Stack Driver, Serial Console, Cloud Audit Logs

  • Auth: IAM, AD Integration

  • Security: KMS, HMS, CSEK, TPM, Security Scanner, Cloud Armor