Practice Free Associate Cloud Engineer Exam Online Questions
You have an instance group that you want to load balance. You want the load balancer to terminate the client SSL session. The instance group is used to serve a public web application over HTTPS. You want to follow Google-recommended practices.
What should you do?
- A . Configure an HTTP(S) load balancer.
- B . Configure an internal TCP load balancer.
- C . Configure an external SSL proxy load balancer.
- D . Configure an external TCP proxy load balancer.
A
Explanation:
Reference: https://cloud.google.com/load-balancing/docs/https/
According to this guide for setting up an HTTP (S) load balancer in GCP: The client SSL session terminates at the load balancer. Sessions between the load balancer and the instance can either be HTTPS (recommended) or HTTP.
https://cloud.google.com/load-balancing/docs/ssl
Set up firewall rules to open up relevant traffic between the DMZ and the LAN subnets, and another firewall rule to allow public egress traffic for the DMZ.
Explanation:
https://cloud.google.com/vpc/docs/vpc-peering
Set up firewall rules to open up relevant traffic between the DMZ and the LAN subnets, and another firewall rule to allow public egress traffic for the DMZ.
Explanation:
https://cloud.google.com/vpc/docs/vpc-peering
Set up firewall rules to open up relevant traffic between the DMZ and the LAN subnets, and another firewall rule to allow public egress traffic for the DMZ.
Explanation:
https://cloud.google.com/vpc/docs/vpc-peering
You are planning to migrate the following on-premises data management solutions to Google Cloud:
• One MySQL cluster for your main database
• Apache Kafka for your event streaming platform
• One Cloud SOL for PostgreSOL database for your analytical and reporting needs
You want to implement Google-recommended solutions for the migration. You need to ensure that the new solutions provide global scalability and require minimal operational and infrastructure management.
What should you do?
- A . Migrate from MySQL to Cloud SQL, from Kafka to Memorystore, and from Cloud SQL for PostgreSQL to Cloud SQL
- B . Migrate from MySQL to Cloud Spanner, from Kafka to Memorystore, and from Cloud SOL for PostgreSQL to Cloud SQL
- C . Migrate from MySQL to Cloud SOL, from Kafka to Pub/Sub, and from Cloud SOL for PostgreSQL to BigQuery.
- D . Migrate from MySQL to Cloud Spanner, from Kafka to Pub/Sub. and from Cloud SQL for PostgreSQL to BigQuery
You are planning to migrate the following on-premises data management solutions to Google Cloud:
• One MySQL cluster for your main database
• Apache Kafka for your event streaming platform
• One Cloud SOL for PostgreSOL database for your analytical and reporting needs
You want to implement Google-recommended solutions for the migration. You need to ensure that the new solutions provide global scalability and require minimal operational and infrastructure management.
What should you do?
- A . Migrate from MySQL to Cloud SQL, from Kafka to Memorystore, and from Cloud SQL for PostgreSQL to Cloud SQL
- B . Migrate from MySQL to Cloud Spanner, from Kafka to Memorystore, and from Cloud SOL for PostgreSQL to Cloud SQL
- C . Migrate from MySQL to Cloud SOL, from Kafka to Pub/Sub, and from Cloud SOL for PostgreSQL to BigQuery.
- D . Migrate from MySQL to Cloud Spanner, from Kafka to Pub/Sub. and from Cloud SQL for PostgreSQL to BigQuery
Your coworker has helped you set up several configurations for gcloud. You’ve noticed that you’re running commands against the wrong project. Being new to the company, you haven’t yet memorized any of the projects.
With the fewest steps possible, what’s the fastest way to switch to the correct configuration?
- A . Run gcloud configurations list followed by gcloud configurations activate .
- B . Run gcloud config list followed by gcloud config activate.
- C . Run gcloud config configurations list followed by gcloud config configurations activate.
- D . Re-authenticate with the gcloud auth login command and select the correct configurations on login.
C
Explanation:
as gcloud config configurations list can help check for the existing configurations and activate can help switch to the configuration.
gcloud config configurations list lists existing named configurations
gcloud config configurations activate activates an existing named configuration
Obtains access credentials for your user account via a web-based authorization flow. When this command completes successfully, it sets the active account in the current configuration to the account specified. If no configuration exists, it creates a configuration named default.
You are managing a Data Warehouse on BigQuery. An external auditor will review your company’s processes, and multiple external consultants will need view access to the data. You need to provide them with view access while following Google-recommended practices.
What should you do?
- A . Grant each individual external consultant the role of BigQuery Editor
- B . Grant each individual external consultant the role of BigQuery Viewer
- C . Create a Google Group that contains the consultants and grant the group the role of BigQuery Editor
- D . Create a Google Group that contains the consultants, and grant the group the role of BigQuery Viewer
You are running multiple microservices in a Kubernetes Engine cluster. One microservice is rendering images. The microservice responsible for the image rendering requires a large amount of CPU time compared to the memory it requires. The other microservices are workloads that are optimized for n1-standard machine types. You need to optimize your cluster so that all workloads are using resources as efficiently as possible.
What should you do?
- A . Assign the pods of the image rendering microservice a higher pod priority than the older microservices
- B . Create a node pool with compute-optimized machine type nodes for the image rendering microservice Use the node pool with general-purpose machine type nodes for the other microservices
- C . Use the node pool with general-purpose machine type nodes for lite mage rendering microservice Create a nodepool with compute-optimized machine type nodes for the other microservices
- D . Configure the required amount of CPU and memory in the resource requests specification of the image rendering microservice deployment Keep the resource requests for the other microservices at the default
You need to deploy an application in Google Cloud using savorless technology. You want to test a new version of the application with a small percentage of production traffic.
What should you do?
- A . Deploy the application lo Cloud. Run. Use gradual rollouts for traffic spelling.
- B . Deploy the application lo Google Kubemetes Engine. Use Anthos Service Mesh for traffic splitting.
- C . Deploy the application to Cloud functions. Saucily the version number in the functions name.
- D . Deploy the application to App Engine. For each new version, create a new service.