Deploying workloads in GCP - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is a workload in cloud computing?

A workload is a set of tasks or applications running on cloud resources to perform specific functions or services.

beginner

Name two common ways to deploy workloads on Google Cloud Platform.

You can deploy workloads using Google Kubernetes Engine (GKE) for containerized apps or Compute Engine for virtual machines.

intermediate

Why use Google Kubernetes Engine (GKE) for deploying workloads?

GKE automates container management, scaling, and updates, making it easier to run apps reliably and efficiently.

intermediate

What is the role of a deployment in workload management?

A deployment defines how many copies of an app run and manages updates without downtime.

intermediate

How does autoscaling help when deploying workloads?

Autoscaling adjusts the number of running instances automatically based on demand, saving cost and ensuring performance.

Which GCP service is best for running containerized workloads?

A BigQuery

B Cloud Storage

C Google Kubernetes Engine (GKE)

D Cloud Functions

GKE is designed to run and manage containerized applications efficiently.

What does autoscaling do in workload deployment?

A Automatically adjusts resources based on demand

B Manually increases server size

C Deletes unused data

D Schedules backups

Autoscaling automatically changes the number of instances to match workload demand.

Which workload deployment method uses virtual machines?

A Cloud Run

B Compute Engine

C App Engine

D Cloud Functions

Compute Engine provides virtual machines to run workloads.

What is a deployment in Kubernetes?

A A way to manage app copies and updates

B A database instance

C A network firewall

D A storage bucket

A deployment manages how many app copies run and handles updates smoothly.

Why is containerization useful for deploying workloads?

A It encrypts data

B It increases server hardware

C It stores large files

D It bundles app code and dependencies for easy, consistent deployment

Containers package apps with everything needed to run, making deployment consistent across environments.

Explain how autoscaling improves workload deployment on GCP.

Think about how the system reacts when more users come or go.

Describe the difference between deploying workloads on Compute Engine and Google Kubernetes Engine.

Consider the type of resource and management style.