Exam DP-200 topic 4 question 44 discussion

It should be C. Azure Monitor Metrics. A. Azure Log Analytics log search query It's not a monitoring solution, but rather a forensic investigation tool. B. Ambari REST API note that it's not Ambari Web UI! It is a good portion of work to create a monitoring solution using only Ambari REST API. C. Azure Monitor Metrics "Metrics in Azure Monitor are lightweight and capable of supporting near real-time scenarios making them particularly useful for alerting and fast detection of issues." https://docs.microsoft.com/en-us/azure/azure-monitor/platform/data-platform-metrics D. HDInsight .NET SDK This is all about managing HDInsight clusters. https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-administer-use-dotnet-sdk E. Azure Log Analytics alert rule query Monitoring is needed, not alerts

I think the answer should be A. Query Azure Monitor Logs (in Azure Log Analytic workspace). https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-hadoop-oms-log-analytics-use-queries In order to track down the issue on a specific time, you can query metrics on any node within a specific time range.

I think the correct answer is "A. Azure Log Analytics log search query". Here https://azure.microsoft.com/en-us/blog/monitoring-on-hdinsight-part-1-an-overview/ you can read "... One of the key benefits of Azure Monitor logs is that you can push metrics and logs from multiple HDInsight clusters to the same Log Analytics workspace, allowing you to monitor multiple clusters in one place..." and send you to this link: https://docs.microsoft.com/en-us/azure/azure-monitor/logs/log-analytics-tutorial#work-with-performance-data

Ambari can be used to monitor one cluster at one time. If you want to monitor multiple clusters at once azure log analytics is the only option.

Is correct, it should be B. Ambari is the recommended tool for monitoring utilization across the whole cluster. The Ambari dashboard shows easily glanceable widgets that display metrics such as CPU, network, YARN memory, and HDFS disk usage. The specific metrics shown depend on cluster type. The “Hosts” tab shows metrics for individual nodes so you can ensure the load on your cluster is evenly distributed. References: https://azure.microsoft.com/en-us/blog/monitoring-on-hdinsight-part-1-an-overview/

Least amount of time so answer is C

The explanation is talking about "Ambari dashboard" not "Ambari REST API". REST API is not a fast solution. The answer should be C as per "Metrics in Azure Monitor are lightweight and capable of supporting near real-time scenarios making them particularly useful for alerting and fast detection of issues." (https://docs.microsoft.com/en-us/azure/azure-monitor/platform/data-platform-metrics)

Answer should be C

why is it not ambari rest api?

As per Question #2 Topic 4 answer must be A

surely the AMBARI solution is easier (and thus meets requirement of quickest/shortest time) than manually looking through log history. Agree with answer given.

Its about looking through the log history and not an alert. The answer is Log Analytics https://azure.microsoft.com/en-us/blog/monitoring-on-hdinsight-part-1-an-overview/

Answer should be E?