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The Google Associate-Cloud-Engineer exam is composed of multiple-choice and multiple-select questions, and it has a time limit of two hours. The passing score is 70%, and the exam fee is $125. Associate-Cloud-Engineer Exam can be taken online or in-person at a Pearson VUE test center.

Google Associate Cloud Engineer Exam Sample Questions (Q20-Q25):

NEW QUESTION # 20
Your company is moving its entire workload to Compute Engine. Some servers should be accessible through the Internet, and other servers should only be accessible over the internal network. All servers need to be able to talk to each other over specific ports and protocols. The current on-premises network relies on a demilitarized zone (DMZ) for the public servers and a Local Area Network (LAN) for the private servers. You need to design the networking infrastructure on Google Cloud to match these requirements. What should you do?

A. 1. Create a single VPC with a subnet for the DMZ and a subnet for the LAN. 2. Set up firewall rules to open up relevant traffic between the DMZ and the LAN subnets, and another firewall rule to allow public ingress traffic for the DMZ.
B. 1. Create a VPC with a subnet for the DMZ and another VPC with a subnet for the LAN. 2. Set up firewall rules to open up relevant traffic between the DMZ and the LAN subnets, and another firewall rule to allow public ingress traffic for the DMZ.
C. 1. Create a VPC with a subnet for the DMZ and another VPC with a subnet for the LAN. 2. 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.
D. 1. Create a single VPC with a subnet for the DMZ and a subnet for the LAN. 2. 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.

Answer: B

Explanation:
Explanation
https://cloud.google.com/vpc/docs/vpc-peering

NEW QUESTION # 21
Your development team has asked for your help. They need a simple, reproducible way to create and terminate a new Compute Engine instance so that they can automate it as a part of their CI/CD process. What is the best option for accomplishing that?

A. Show them how to use the Console to create and terminate instances.
B. Show them how to use the gcloud component of the Cloud SDK.
C. Show them how to use a Docker container. Then they can get rid of the need for the VM.
D. Recommend that they use the REST API to develop the functionality in the language of their choosing.

Answer: B

NEW QUESTION # 22
Your company has a large quantity of unstructured data in different file formats. You want to perform ETL transformations on the data. You need to make the data accessible on Google Cloud so it can be processed by a Dataflow job. What should you do?

A. Upload the data to Cloud Storage using the gsutil command line tool.
B. Upload the data into Cloud Spanner using the import function in the console.
C. Upload the data to BigQuery using the bq command line tool.
D. Upload the data into Cloud SQL using the import function in the console.

Answer: A

Explanation:
https://cloud.google.com/solutions/performing-etl-from-relational-database-into-bigquery

NEW QUESTION # 23
You are creating a Google Kubernetes Engine (GKE) cluster with a cluster autoscaler feature enabled. You need to make sure that each node of the cluster will run a monitoring pod that sends container metrics to a third-party monitoring solution. What should you do?

A. Reference the monitoring pod in a cluster initializer at the GKE cluster creation time.
B. Deploy the monitoring pod in a StatefulSet object.
C. Reference the monitoring pod in a Deployment object.
D. Deploy the monitoring pod in a DaemonSet object.

Answer: D

Explanation:
Explanation
https://cloud.google.com/kubernetes-engine/docs/concepts/daemonset
https://cloud.google.com/kubernetes-engine/docs/concepts/daemonset#usage_patterns DaemonSets attempt to adhere to a one-Pod-per-node model, either across the entire cluster or a subset of nodes. As you add nodes to a node pool, DaemonSets automatically add Pods to the new nodes as needed.
In GKE, DaemonSets manage groups of replicated Pods and adhere to a one-Pod-per-node model, either across the entire cluster or a subset of nodes. As you add nodes to a node pool, DaemonSets automatically add Pods to the new nodes as needed. So, this is a perfect fit for our monitoring pod.
Ref: https://cloud.google.com/kubernetes-engine/docs/concepts/daemonset DaemonSets are useful for deploying ongoing background tasks that you need to run on all or certain nodes, and which do not require user intervention. Examples of such tasks include storage daemons like ceph, log collection daemons like fluentd, and node monitoring daemons like collectd. For example, you could have DaemonSets for each type of daemon run on all of your nodes. Alternatively, you could run multiple DaemonSets for a single type of daemon, but have them use different configurations for different hardware types and resource needs.

NEW QUESTION # 24
Your company has a large quantity of unstructured data in different file formats. You want to perform ETL transformations on the data. You need to make the data accessible on Google Cloud so it can be processed by a Dataflow job. What should you do?

A. Upload the data to Cloud Storage using the gsutilcommand line tool.
B. Upload the data to BigQuery using the bqcommand line tool.
C. Upload the data into Cloud Spanner using the import function in the console.
D. Upload the data into Cloud SQL using the import function in the console.

Answer: A

Explanation:
Explanation/Reference: https://cloud.google.com/solutions/performing-etl-from-relational-database-into-bigquery

NEW QUESTION # 25
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Free PDF Google - Associate-Cloud-Engineer Fantastic Sample Exam

Google Associate-Cloud-Engineer Test Assessment, Excellect Associate-Cloud-Engineer Pass Rate

Google Associate Cloud Engineer Exam Sample Questions (Q20-Q25):

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