Google Practice Exam

Question 1

Situation: Creating a Kubernetes Engine cluster to deploy multiple pods inside the cluster. All container logs must be stored in BigQuery for later analysis. Following Google-recommended practices, what to do.

Answer 1

• Turn on Stackdriver Logging during the Kubernetes Engine cluster creation to enable all the container logs to be stored in Stackdriver Logging
• Use the Stackdriver Logging export feature to create a sink to BigQuert. specify a filter expression to export log records related to your Kubernetes cluster only.

Question 2

How to create a new Kubernetes Cluster on GCP that can autoscale the number of worker nodes?

Answer 2

Create a cluster on GKE and enable autoscaling.

Question 3

GKE cluster autoscaler

Answer 3

Resizes clusters based on the demands of the workloads you want to run

Question 4

PaaS

Answer 4

App Engine: fastest way to getup and running on the Google Cloud. Offers a global infrastructure that will scale load as well as scale up and down on demand as needed

Question 5

kubectl port-forward

Answer 5

Forward one or more local ports to a pod.

Question 6

kubectl create secret

Answer 6

1. docker-registry: create secret for use with a Docker registry
2. generic: create secret from a local file, directory or literal value
3. tls: create a TLS secret

Question 7

Kubernetes cluster

Answer 7

A managed group of VM instances for running containerized applications

Question 8

Kubernetes workloads

Answer 8

deployable units of computing that can be created and managed in a cluster

Question 9

SLIs

Answer 9

service level indicators

quantitative measure of some aspect of the level of service that is provided
ex: request latency, error rate, system throughput, availability, durability

Question 10

SLOs

Answer 10

service level objectives

Question 11

SLAs

Answer 11

service level agreements