[-0% Off] GCP | Professional Cloud Architect | Practice Exams | MAR 21
Duration: 3.0 hours
PCA | Exam with confidence in First Attempt Easily , Accurate & Verified Answers As Experienced in the Actual Test
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Google Cloud Platform - Professional Cloud Architect - Practice Exams -
- This course provides THREE practice exams. this exam cover all category's of Google Cloud Platform Services.
- 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 GCP documentation.
- A Professional Cloud Architect enables organizations to leverage Google Cloud technologies. With a thorough understanding of cloud architecture and Google Cloud Platform, this individual can design, develop, and manage robust, secure, scalable, highly available, and dynamic solutions to drive business objectives.
The Google Cloud Certified - Professional Cloud Architect exam assesses your ability to :
Design and plan a cloud solution architecture .
Manage and provision the cloud solution infrastructure .
Design for security and compliance .
Analyze and optimize technical and business processes .
Manage implementations of cloud architecture .
Ensure solution and operations reliability .
This course includes
135 UNIQUE and LATEST practice questions spread across 3 timed tests
Detailed and exhaustive explanations to why a particular option is correct as well as detailing why other options are incorrect
Official documentation reference links for easy quick read
You get 30 DAYS NO QUESTIONS ASK REFUND if not satisfied with the course, even if you have completed the course 100%.
Lifetime access to regular exam updates
Detailed Overview of Topics Covered:
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
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
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