Google Professional Cloud DevOps Engineer Quiz 2 Topic 1 Questions 6-10

Question: 1

You use Spinnaker to deploy your application and have created a canary deployment stage in the pipeline. Your application has an in-memory cache that loads objects at start time. You want to automate the comparison of the canary version against the production version. How should you configure the canary analysis?

ACompare the canary with a new deployment of the current production version.

BCompare the canary with a new deployment of the previous production version.

CCompare the canary with the existing deployment of the current production version.

DCompare the canary with the average performance of a sliding window of previous production versions.

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Question: 2

You are managing an application that exposes an HTTP endpoint without using a load balancer. The latency of the HTTP responses is important for the user experience. You want to understand what HTTP latencies all of your users are experiencing. You use Stackdriver Monitoring. What should you do?

A* In your application, create a metric with a metricKind set to DELTA and a valueType set to DOUBLE.
* In Stackdriver's Metrics Explorer, use a Slacked Bar graph to visualize the metric.

B* In your application, create a metric with a metricKind set to CUMULATIVE and a valueType set to DOUBLE.
* In Stackdriver's Metrics Explorer, use a Line graph to visualize the metric.

C* In your application, create a metric with a metricKind set to gauge and a valueType set to distribution.
* In Stackdriver's Metrics Explorer, use a Heatmap graph to visualize the metric.

D* In your application, create a metric with a metricKind. set toMETRlc_KIND_UNSPECIFIEDanda valueType set to INT64.
* In Stackdriver's Metrics Explorer, use a Stacked Area graph to visualize the metric.

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Question: 3

You need to reduce the cost of virtual machines (VM| for your organization. After reviewing different options, you decide to leverage preemptible VM instances. Which application is suitable for preemptible VMs?

AA scalable in-memory caching system

BThe organization's public-facing website

CA distributed, eventually consistent NoSQL database cluster with sufficient quorum

DA GPU-accelerated video rendering platform that retrieves and stores videos in a storage bucket

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Question: 4

You encounter a large number of outages in the production systems you support. You receive alerts for all the outages that wake you up at night. The alerts are due to unhealthy systems that are automatically restarted within a minute. You want to set up a process that would prevent staff burnout while following Site Reliability Engineering practices. What should you do?

AEliminate unactionable alerts.

BCreate an incident report for each of the alerts.

CDistribute the alerts to engineers in different time zones.

DRedefine the related Service Level Objective so that the error budget is not exhausted.

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Question: 5

Your product is currently deployed in three Google Cloud Platform (GCP) zones with your users divided between the zones. You can fail over from one zone to another, but it causes a 10-minute service disruption for the affected users. You typically experience a database failure once per quarter and can detect it within five minutes. You are cataloging the reliability risks of a new real-time chat feature for your product. You catalog the following information for each risk:

* Mean Time to Detect (MUD} in minutes

* Mean Time to Repair (MTTR) in minutes

* Mean Time Between Failure (MTBF) in days

* User Impact Percentage

The chat feature requires a new database system that takes twice as long to successfully fail over between zones. You want to account for the risk of the new database failing in one zone. What would be the values for the risk of database failover with the new system?

A.

MTTD: 5

MTTR: 10

MTBF: 90

Impact: 33%

B.

MTTD:5

MTTR: 20

MTBF: 90

Impact: 33%

CMTTD:5
MTTR: 10
MTBF: 90
Impact 50%
D.
MTTD:5
MTTR: 20
MTBF: 90
Impact: 50%

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Google Professional Cloud DevOps Engineer Quiz:2 Topic:1 Questions:6-10