FREE PDF QUIZ 2025 PERFECT ASSOCIATE-CLOUD-ENGINEER: COMPOSITE TEST GOOGLE ASSOCIATE CLOUD ENGINEER EXAM PRICE

Free PDF Quiz 2025 Perfect Associate-Cloud-Engineer: Composite Test Google Associate Cloud Engineer Exam Price

Free PDF Quiz 2025 Perfect Associate-Cloud-Engineer: Composite Test Google Associate Cloud Engineer Exam Price

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itPass4sure's study material is available in three different formats. The reason we have introduced three formats of the Google Associate Cloud Engineer Exam (Associate-Cloud-Engineer) practice material is to meet the learning needs of every student. Some candidates prefer Associate-Cloud-Engineer practice exams and some want real Google Associate Cloud Engineer Exam (Associate-Cloud-Engineer) questions due to a shortage of time. At itPass4sure, we meet the needs of both types of aspirants. We have Associate-Cloud-Engineer PDF format, a web-based practice exam, and Google Associate Cloud Engineer Exam (Associate-Cloud-Engineer) desktop practice test software.

Google Associate Cloud Engineer certification is a valuable asset for professionals seeking to enhance their career prospects in the cloud computing industry. Google Associate Cloud Engineer Exam certification demonstrates a candidate's ability to use Google Cloud Platform technologies to design, develop, and manage cloud-based applications. Google Associate Cloud Engineer Exam certification also provides individuals with the skills and knowledge needed to work effectively in a cloud computing environment. As more organizations adopt cloud computing technologies, the demand for certified Google Associate Cloud Engineers is likely to increase, making this certification a valuable investment for individuals seeking a career in cloud computing.

Preparation Process

The candidates for the Google Associate Cloud Engineer certification exam have a variety of preparation options to choose from. Everything that the applicants need to prepare for the qualifying test can be found on the official website. For starters, the learners are recommended to purchase the Official Google Cloud Certified Associate Cloud Engineer Study Guide published by Wiley to get a comprehensive understanding of the topics included in the exam syllabus. The official platform also offers such valuable training tools as sample questions, Cloud Engineer learning path, and webinars guided by the certified experts. Moreover, the individuals can sign up for the Preparing for the Associate Cloud Engineer Examination course to do a final check for the exam readiness. Lastly, they can take advantage of Google Cloud documentation, which contains a great collection of tutorials, guides, and other resources on Google Cloud products.

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Google Associate-Cloud-Engineer Exam is a 2-hour proctored exam that consists of 50 multiple-choice and multiple-select questions. Associate-Cloud-Engineer exam can be taken in person at a testing center or online from the comfort of your home or office. Candidates are required to score at least 70% to pass the exam and earn their certification.

Google Associate Cloud Engineer Exam Sample Questions (Q105-Q110):

NEW QUESTION # 105
You are using Data Studio to visualize a table from your data warehouse that is built on top of BigQuery. Data is appended to the data warehouse during the day. At night, the daily summary is recalculated by overwriting the table. You just noticed that the charts in Data Studio are broken, and you want to analyze the problem. What should you do?

  • A. In Cloud Logging create a filter for your Data Studio report
  • B. Use Cloud Debugger to find out why the data was not refreshed correctly
  • C. Review the Error Reporting page in the Cloud Console to find any errors.
  • D. Use the BigQuery interface to review the nightly Job and look for any errors

Answer: B

Explanation:
Cloud Debugger helps inspect the state of an application, at any code location, without stopping or slowing down the running app // https://cloud.google.com/debugger/docs


NEW QUESTION # 106
You will have several applications running on different Compute Engine instances in the same project. You want to specify at a more granular level the service account each instance uses when calling Google Cloud APIs. What should you do?

  • A. After starting the instances, use gcloud compute instances update to specify a Service Account for each instance
  • B. After starting the instances, use gcloud compute instances update to assign the name of the relevant Service Account as instance metadata
  • C. When creating the instances, specify a Service Account for each instance
  • D. When creating the instances, assign the name of each Service Account as instance metadata

Answer: C

Explanation:
Explanation
https://cloud.google.com/compute/docs/access/service-accounts#associating_a_service_account_to_an_instance


NEW QUESTION # 107
You are building a new version of an application hosted in an App Engine environment. You want to test the new version with 1% of users before you completely switch your application over to the new version. What should you do?

  • A. Deploy a new version of your application in App Engine. Then go to App Engine settings in GCP Console and split traffic between the current version and newly deployed versions accordingly.
  • B. Deploy a new version of your application in a Compute Engine instance instead of App Engine and then use GCP Console to split traffic.
  • C. Deploy a new version as a separate app in App Engine. Then configure App Engine using GCP Console to split traffic between the two apps.
  • D. Deploy a new version of your application in Google Kubernetes Engine instead of App Engine and then use GCP Console to split traffic.

Answer: D


NEW QUESTION # 108
Your team has been working on building a web application. The plan is to deploy to Kubernetes. You currently have a Dockerfile that works locally. How can you get the application deployed to Kubernetes?

  • A. Use docker to create a container image, push it to the Google Container Registry, deploy the uploaded image to Kubernetes with kubectl.
  • B. Use kubectl to push the convert the Dockerfile into a deployment.
  • C. Use docker to create a container image, save the image to Cloud Storage, deploy the uploaded image to Kubernetes with kubectl.
  • D. Use kubectl apply to push the Dockerfile to Kubernetes.

Answer: A


NEW QUESTION # 109
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. 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. 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.
  • 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: C

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 # 110
......

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