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Google Associate-Cloud-Engineer Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Planning and configuring a cloud solution	25%	- Configuring storage and database solutions - Configuring compute resources
Topic 2: Ensuring successful operation of a cloud solution	20%	- Monitoring and logging - Managing cloud resources
Topic 3: Configuring access and security	15%	- Securing data and services - Managing IAM roles and permissions
Topic 4: Deploying and implementing a cloud solution	20%	- Implementing networking components - Deploying applications and services
Topic 5: Setting up a cloud solution environment	20%	- Managing billing and identity access - Setting up cloud projects and accounts

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Google Associate Cloud Engineer Exam Sample Questions (Q138-Q143):

NEW QUESTION # 138
You have a project using BigQuery. You want to list all BigQuery jobs for that project. You want to set this project as the default for the bq command-line tool. What should you do?

A. Use "bq config set project" to set the default project.
B. Use "gcloud generate config-url" to generate a URL to the Google Cloud Platform Console to set the default project.
C. Use "gcloud config set project" to set the default project.
D. Use "bq generate config-url" to generate a URL to the Google Cloud Platform Console to set the default project.

Answer: C

Explanation:
A is correct because you need to use gcloud to manage the config/defaults.
B is not correct because the bq command-line tool assumes the gcloud configuration settings and can't be set through BigQuery.
C is not correct because entering this command will not achieve the desired result and will generate an error.
D is not correct because entering this command will not achieve the desired result and will generate an error.
https://cloud.google.com/bigquery/docs/reference/bq-cli-reference
https://cloud.google.com/sdk/gcloud/reference/config/set

NEW QUESTION # 139
You are hosting an application from Compute Engine virtual machines (VMs) in us-central1-a. You want to adjust your design to support the failure of a single Compute Engine zone, eliminate downtime, and minimize cost. What should you do?

A. - Create Compute Engine resources in us-central1-b.
- Balance the load across both us-central1-a and us-central1-b.
B. - Perform regular backups of your application.
- Create a Cloud Monitoring Alert and be notified if your application becomes unavailable.
- Restore from backups when notified.
C. - Create a Managed Instance Group and specify us-central1-a as the zone.
- Configure the Health Check with a short Health Interval.
D. - Create an HTTP(S) Load Balancer.
- Create one or more global forwarding rules to direct traffic to your VMs.

Answer: D

Explanation:
Reference:
https://github.com/GoogleCloudPlatform/puppet-google-compute

NEW QUESTION # 140
You are building a pipeline to process time-series data. Which Google Cloud Platform services should you put in boxes 1,2,3, and 4?

A. Cloud Pub/Sub, Cloud Dataflow, Cloud Bigtable, BigQuery
B. Cloud Pub/Sub, Cloud Dataflow, Cloud Datastore, BigQuery
C. Firebase Messages, Cloud Pub/Sub, Cloud Spanner, BigQuery
D. Cloud Pub/Sub, Cloud Storage, BigQuery, Cloud Bigtable

Answer: A

Explanation:
Reference: https://cloud.google.com/solutions/correlating-time-series-dataflow
https://cloud.google.com/blog/products/data-analytics/handling-duplicate-data-in-streaming-pipeline-using- pubsub-dataflow
https://cloud.google.com/bigtable/docs/schema-design-time-series

NEW QUESTION # 141
You have an application running in Google Kubernetes Engine (GKE) with cluster autoscaling enabled. The application exposes a TCP endpoint. There are several replicas of this application. You have a Compute Engine instance in the same region, but in another Virtual Private Cloud (VPC), called gce-network, that has no overlapping IP ranges with the first VPC. This instance needs to connect to the application on GKE. You want to minimize effort. What should you do?

A. 1. In GKE, create a Service of type LoadBalancer that uses the application's Pods as backend.2. Set the service's externalTrafficPolicy to Cluster.3. Configure the Compute Engine instance to use the address of the load balancer that has been created.
B. 1. In GKE, create a Service of type LoadBalancer that uses the application's Pods as backend.2. Add a Cloud Armor Security Policy to the load balancer that whitelists the internal IPs of the MIG's instances.3. Configure the Compute Engine instance to use the address of the load balancer that has been created.
C. 1. In GKE, create a Service of type LoadBalancer that uses the application's Pods as backend.2. Add an annotation to this service: cloud.google.com/load-balancer-type: Internal3. Peer the two VPCs together.4. Configure the Compute Engine instance to use the address of the load balancer that has been created.
D. 1. In GKE, create a Service of type NodePort that uses the application's Pods as backend.2. Create a Compute Engine instance called proxy with 2 network interfaces, one in each VPC.3. Use iptables on this instance to forward traffic from gce-network to the GKE nodes.4. Configure the Compute Engine instance to use the address of proxy in gce-network as endpoint.

Answer: A

Explanation:
Explanation
performs a peering between the two VPC's (the statement makes sure that this option is feasible since it clearly specifies that there is no overlapping between the ip ranges of both vpc's), deploy the LoadBalancer as internal with the annotation, and configure the endpoint so that the compute engine instance can access the application internally, that is, without the need to have a public ip at any time and therefore, without the need to go outside the google network. The traffic, therefore, never crosses the public internet.
https://medium.com/pablo-perez/k8s-externaltrafficpolicy-local-or-cluster-40b259a19404
https://cloud.google.com/kubernetes-engine/docs/how-to/internal-load-balancing clients in a VPC network connected to the LoadBalancer network using VPC Network Peering can also access the Service
https://cloud.google.com/kubernetes-engine/docs/how-to/service-parameters

NEW QUESTION # 142
You are running an application on multiple virtual machines within a managed instance group and have autoscaling enabled. The autoscaling policy is configured so that additional instances are added to the group if the CPU utilization of instances goes above 80%. VMs are added until the instance group reaches its maximum limit of five VMs or until CPU utilization of instances lowers to 80%. The initial delay for HTTP health checks against the instances is set to 30 seconds. The virtual machine instances take around three minutes to become available for users. You observe that when the instance group autoscales, it adds more instances then necessary to support the levels of end-user traffic. You want to properly maintain instance group sizes when autoscaling. What should you do?

A. Decrease the maximum number of instances to 3.
B. Use a TCP health check instead of an HTTP health check.
C. Set the maximum number of instances to 1.
D. Increase the initial delay of the HTTP health check to 200 seconds.

Answer: D

Explanation:
Explanation
The reason is that when you do health check, you want the VM to be working. Do the first check after initial setup time of 3 mins = 180 s < 200 s is reasonable.
The reason why our autoscaling is adding more instances than needed is that it checks 30 seconds after launching the instance and at this point, the instance isnt up and isnt ready to serve traffic. So our autoscaling policy starts another instance again checks this after 30 seconds and the cycle repeats until it gets to the maximum instances or the instances launched earlier are healthy and start processing traffic which happens after 180 seconds (3 minutes). This can be easily rectified by adjusting the initial delay to be higher than the time it takes for the instance to become available for processing traffic.So setting this to 200 ensures that it waits until the instance is up (around 180-second mark) and then starts forwarding traffic to this instance. Even after a cool out period, if the CPU utilization is still high, the autoscaler can again scale up but this scale-up is genuine and is based on the actual load.
Initial Delay Seconds This setting delays autohealing from potentially prematurely recreating the instance if the instance is in the process of starting up. The initial delay timer starts when the currentAction of the instance is VERIFYING.Ref: https://cloud.google.com/compute/docs/instance-groups/autohealing-instances-in-migs

NEW QUESTION # 143
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