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NEW QUESTION: 1
A security officer is leading a lessons learned meeting. Which of the following should be components of that meeting? (Select TWO).
A. Review vendor selection process
B. Calculate the ALE for the event
C. Assigning of follow up items
D. Demonstration of IPS system
E. Discussion of event timeline
Answer: C,E
Explanation:
Lessons learned process is the sixth step in the Incident Response process. Everybody that was involved in the process reviews what happened and why it happened. It is during this step that they determine what changes should be introduced to prevent future problems.
Incorrect Answers:
A: Demonstration of the IPS system would not take place as part of the Incident Response process.
B: Reviewing the vendor selection process is not part of the Incident Response process.
C: Calculating the ALE for the event is part of Quantitative Risk Assessment, not Incident Response.
References:
Gregg, Michael, and Billy Haines, CASP CompTIA Advanced Security Practitioner Study Guide, John
Wiley & Sons, Indianapolis, 2012, pp. 215, 249

NEW QUESTION: 2
ある会社がIoTデバイスをインストールして、配送車両を監視しています。デバイスからのデータは、Azure Event Hubから収集されます。
リアルタイムのデータ視覚化のために、データをPower BIに送信する必要があります。
ソリューションを推奨する必要があります。
何をお勧めしますか？
A. Azure Stream Analytics
B. Azure DatabricksのApache Spark
C. Spark Streamingを使用したAzure HDInsight
D. Stormを使用したAzure HDInsight
Answer: A
Explanation:
Explanation
Step 1: Get your IoT hub ready for data access by adding a consumer group.
Step 2: Create, configure, and run a Stream Analytics job for data transfer from your IoT hub to your Power BI account.
Step 3: Create and publish a Power BI report to visualize the data.
References:
https://docs.microsoft.com/en-us/azure/iot-hub/iot-hub-live-data-visualization-in-power-bi

NEW QUESTION: 3
You are creating a Kubernetes Engine cluster to deploy multiple pods inside the cluster. All container logs must be stored in BigQuery for later analysis. You want to follow Google- recommended practices. Which two approaches can you take?
A. Turn on Stackdriver Monitoring during the Kubernetes Engine cluster creation.
B. Develop a custom add-on that uses Cloud Logging API and BigQuery API. Deploy the add-on to your Kubernetes Engine cluster.
C. Use the Stackdriver Logging export feature to create a sink to Cloud Storage. Create a Cloud Dataflow job that imports log files from Cloud Storage to BigQuery.
D. Turn on Stackdriver Logging during the Kubernetes Engine cluster creation.
E. Use the Stackdriver Logging export feature to create a sink to BigQuery. Specify a filter expression to export log records related to your Kubernetes Engine cluster only.
Answer: D,E
Explanation:
A Is correct because creating a cluster with Stackdriver Logging option will enable all the container logs to be stored in Stackdriver Logging.
B Is not correct because creating a cluster with Stackdriver Monitoring option will enable monitoring metrics to be gathered, but it has nothing to do with logging.
C is not correct, because even if you can develop a Kubernetes addon that will send logs to BigQuery, this is not a Google-recommended practice.
D is incorrect because this is not a Google recommended practice.
E Is correct because Stackdriver Logging support exporting logs to BigQuery by creating sinks (see links below).
https://cloud.google.com/kubernetes-engine/docs/how-to/logging
https://cloud.google.com/logging/docs/export/configure_export_v2
https://kubernetes.io/docs/reference/labels-annotations-taints/

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