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NEW QUESTION 53
You significantly changed a complex Deployment Manager template and want to confirm that the dependencies of all defined resources are properly met before committing it to the project. You want the most rapid feedback on your changes. What should you do?
- A. Monitor activity of the Deployment Manager execution on the Stackdriver Logging page of the GCP Console.
- B. Execute the Deployment Manager template using the ?preview option in the same project, and observe the state of interdependent resources.
- C. Execute the Deployment Manager template against a separate project with the same configuration, and monitor for failures.
- D. Use granular logging statements within a Deployment Manager template authored in Python.
NEW QUESTION 54
You need to select and configure compute resources for a set of batch processing jobs. These jobs take around
2 hours to complete and are run nightly. You want to minimize service costs. What should you do?
- A. Select Compute Engine. Use preemptible VM instances of the appropriate standard machine type.
- B. Select Google Kubernetes Engine. Use a three-node cluster with micro instance types.
- C. Select Compute Engine. Use VM instance types that support micro bursting.
- D. Select Google Kubernetes Engine. Use a single-node cluster with a small instance type.
NEW QUESTION 55
You need to run an important query in BigQuery but expect it to return a lot of records. You want to find out how much it will cost to run the query. You are using on-demand pricing. What should you do?
- A. Run a select count (*) to get an idea of how many records your query will look through. Then convert that number of rows to dollars using the Pricing Calculator.
- B. Arrange to switch to Flat-Rate pricing for this query, then move back to on-demand.
- C. Use the command line to run a dry run query to estimate the number of bytes read. Then convert that bytes estimate to dollars using the Pricing Calculator.
- D. Use the command line to run a dry run query to estimate the number of bytes returned. Then convert that bytes estimate to dollars using the Pricing Calculator.
NEW QUESTION 56
You create a Deployment with 2 replicas in a Google Kubernetes Engine cluster that has a single preemptible node pool. After a few minutes, you use kubectlto examine the status of your Pod and observe that one of them is still in Pendingstatus:
What is the most likely cause?
- A. The pending Pod was originally scheduled on a node that has been preempted between the creation of the Deployment and your verification of the Pods' status. It is currently being rescheduled on a new node.
- B. The pending Pod's resource requests are too large to fit on a single node of the cluster.
- C. Too many Pods are already running in the cluster, and there are not enough resources left to schedule the pending Pod.
- D. The node pool is configured with a service account that does not have permission to pull the container image used by the pending Pod.
As the node on which pod was scheduled to run was preempted & now this pod is scheduled to run on different preemtible node from the node-pool.
NEW QUESTION 57
You are working with a user to set up an application in a new VPC behind a firewall. The user is concerned about data egress. You want to configure the fewest open egress ports. What should you do?
- A. Set up a high-priority (1000) rule to allow the appropriate ports.
- B. Set up a low-priority (65534) rule that blocks all egress and a high-priority rule (1000) that allows only the appropriate ports.
- C. Set up a high-priority (1000) rule that blocks all egress and a low-priority (65534) rule that allows only the appropriate ports.
- D. Set up a high-priority (1000) rule that pairs both ingress and egress ports.
Every VPC network has two implied firewall rules. These rules exist, but are not shown in the Cloud Console:
Implied allow egress rule. An egress rule whose action is allow, destination is 0.0.0.0/0, and priority is the lowest possible (65535) lets any instance send traffic to any destination, except for traffic blocked by Google Cloud. A higher priority firewall rule may restrict outbound access.
Internet access is allowed if no other firewall rules deny outbound traffic and if the instance has an external IP address or uses a Cloud NAT instance. For more information, see Internet access requirements.
Implied deny ingress rule. An ingress rule whose action is deny, source is 0.0.0.0/0, and priority is the lowest possible (65535) protects all instances by blocking incoming connections to them. A higher priority rule might allow incoming access. The default network includes some additional rules that override this one, allowing certain types of incoming connections.
NEW QUESTION 58
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