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NEW QUESTION: 1
Which two Python packages use NETCONF to interact with Junos devices? (Choose two.)
A. pyyaml
B. junos-eznc
C. numpy
D. jsnapy
Answer: B,D
NEW QUESTION: 2
US Garments wants all encrypted data communication between corporate office and remote location.
They want to achieve following results:
Authentication of users
Anti-replay
Anti-spoofing
IP packet encryption
They implemented IPSec using Authentication Headers (AHs). Which results does this solution provide?
Each correct answer represents a complete solution. Choose all that apply.
A. Anti-spoofing
B. Authentication of users
C. Anti-replay
D. IP packet encryption
Answer: A,C
NEW QUESTION: 3
You need to create a large set of pages that share the same content structure but have different content. What is the best approach to create this large set of same structured pages?
A. Use an Editable Template
B. Use Workflows
C. Use Projects
D. Use Targeting mode
Answer: A
Explanation:
Explanation
https://helpx.adobe.com/experience-manager/6-3/sites/developing/using/page-templates-editable.html
NEW QUESTION: 4
あなたの会社は防犯カメラからの画像を分析し、異常な活動に対応するセキュリティチームに送信します。ソリューションはAzure Databricksを使用します。
Apache Sparkレベルのイベント、Spark Structured Streamingメトリック、およびアプリケーションメトリックをAzure Monitorに送信する必要があります。
どの3つのアクションを順番に実行する必要がありますか？回答するには、回答領域のアクションのリストから適切なアクションを移動し、正しい順序に並べます。
Answer:
Explanation:
Explanation
You can send application logs and metrics from Azure Databricks to a Log Analytics workspace.
Spark uses a configurable metrics system based on the Dropwizard Metrics Library.
Prerequisites: Configure your Azure Databricks cluster to use the monitoring library.
Note: The monitoring library streams Apache Spark level events and Spark Structured Streaming metrics from your jobs to Azure Monitor.
To send application metrics from Azure Databricks application code to Azure Monitor, follow these steps:
Step 1. Build the spark-listeners-loganalytics-1.0-SNAPSHOT.jar JAR file Step 2: Create Dropwizard gauges or counters in your application code.
Reference:
https://docs.microsoft.com/bs-latn-ba/azure/architecture/databricks-monitoring/application-logs