TEST GOOGLE ASSOCIATE-CLOUD-ENGINEER SCORE REPORT & ASSOCIATE-CLOUD-ENGINEER SAMPLE EXAM

Test Google Associate-Cloud-Engineer Score Report & Associate-Cloud-Engineer Sample Exam

Test Google Associate-Cloud-Engineer Score Report & Associate-Cloud-Engineer Sample Exam

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Google Associate Cloud Engineer Exam Sample Questions (Q18-Q23):

NEW QUESTION # 18
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 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.
  • B. 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.
  • C. 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.
  • D. 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.

Answer: D

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 # 19
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 Datastore, BigQuery
  • B. Cloud Pub/Sub, Cloud Dataflow, Cloud Bigtable, BigQuery
  • C. Cloud Pub/Sub, Cloud Storage, BigQuery, Cloud Bigtable
  • D. Firebase Messages, Cloud Pub/Sub, Cloud Spanner, BigQuery

Answer: B

Explanation:
Correct answer is D as Cloud Pub/Sub for data ingestion, Dataflow for data handling and transformation, Bigtable for storage to provide low latency data access and BigQuery for analytics Whenever we want to process timeseries data look for BigTable.
Also you want to perform analystics in Box 4 ..look for BigQuery
https://cloud.google.com/blog/products/databases/getting-started-with-time-series-trend- predictions-using-gcp


NEW QUESTION # 20
You have been asked to create robust Virtual Private Network (VPN) connectivity between a new Virtual Private Cloud (VPC) and a remote site. Key requirements include dynamic routing, a shared address space of 10.19.0.1/22, and no overprovisioning of tunnels during a failover event. You want to follow Google-recommended practices to set up a high availability Cloud VPN. What should you do?

  • A. Use an automatic mode VPC network, configure static routes, and use active/active routing
  • B. Use a custom mode VPC network, configure static routes, and use active/passive routing
  • C. Use a custom mode VPC network use Cloud Router border gateway protocol (86P) routes, and use active/passive routing
  • D. Use an automatic mode VPC network, use Cloud Router border gateway protocol (BGP) routes and configure policy-based routing

Answer: C

Explanation:
https://cloud.google.com/network-connectivity/docs/vpn/concepts/best-practices


NEW QUESTION # 21
Your company runs its Linux workloads on Compute Engine instances. Your company will be working with a new operations partner that does not use Google Accounts. You need to grant access to the instances to your operations partner so they can maintain the installed tooling. What should you do?

  • A. Ask the operations partner to generate SSH key pairs, and add the public keys to the VM instances.
  • B. Set up Cloud VPN between your Google Cloud VPC and the internal network of the operations partner.
  • C. Tag all the instances with the same network tag. Create a firewall rule in the VPC to grant TCP access on port 22 for traffic from the operations partner to instances with the network tag.
  • D. Enable Cloud IAP for the Compute Engine instances, and add the operations partner as a Cloud IAP Tunnel User.

Answer: A

Explanation:
Explanation
IAP controls access to your App Engine apps and Compute Engine VMs running on Google Cloud. It leverages user identity and the context of a request to determine if a user should be allowed access. IAP is a building block toward BeyondCorp, an enterprise security model that enables employees to work from untrusted networks without using a VPN.
By default, IAP uses Google identities and IAM. By leveraging Identity Platform instead, you can authenticate users with a wide range of external identity providers, such as:
Email/password
OAuth (Google, Facebook, Twitter, GitHub, Microsoft, etc.)
SAML
OIDC
Phone number
Custom
Anonymous
This is useful if your application is already using an external authentication system, and migrating your users to Google accounts is impractical.
https://cloud.google.com/iap/docs/using-tcp-forwarding#grant-permission


NEW QUESTION # 22
You've deployed a microservice called myapp1 to a Google Kubernetes Engine cluster using the YAML file specified below:

You need to refactor this configuration so that the database password is not stored in plain text. You want to follow Google-recommended practices. What should you do?

  • A. Store the database password inside a ConfigMap object. Modify the YAML file to populate the DB_PASSWORD environment variable from the ConfigMap.
  • B. Store the database password in a file inside a Kubernetes persistent volume, and use a persistent volume claim to mount the volume to the container.
  • C. Store the database password inside the Docker image of the container, not in the YAML file.
  • D. Store the database password inside a Secret object. Modify the YAML file to populate the DB_PASSWORD environment variable from the Secret.

Answer: D

Explanation:
https://cloud.google.com/config-connector/docs/how-to/secrets#gcloud


NEW QUESTION # 23
......

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