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NEW QUESTION: 1
Azure EventHubsからのほぼリアルタイムのデータに対してカスタム独自のPython関数を使用する統計分析ソリューションを設計しています。
統計分析を実行するために使用するAzureサービスを推奨する必要があります。ソリューションはレイテンシーを最小限に抑える必要があります。
あなたは何をお勧めしますか？
A. Azure Synapse Analytics
B. Azure Stream Analytics
C. AzureSQLデータベース
D. Azure Databricks
Answer: B
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/event-hubs/process-data-azure-stream-analytics

NEW QUESTION: 2
Which of the following would a security administrator implement in order to identify a problem between two
applications that are not communicating properly?
A. Vulnerability scan
B. Baseline report
C. Risk assessment
D. Protocol analyzer
Answer: D
Explanation:
Section: Threats and Vulnerabilities
Explanation/Reference:
Explanation:
A Protocol Analyzer is a hardware device or more commonly a software program used to capture network
data communications sent between devices on a network. Capturing and analyzing the packets sent
between applications on systems that are not communicating properly, could help determine the cause of
the issue.
Well known software protocol analyzers include Message Analyzer (formerly Network Monitor) from
Microsoft and Wireshark (formerly Ethereal).

NEW QUESTION: 3
Identify the missing word(s) in the following sentence... Change can only be considered in relation to an established [ ? ]
A. Product
B. Situation
C. Baseline
D. Specification
Answer: C

NEW QUESTION: 4
An organization has configured Auto Scaling with ELB. There is a memory issue in the application which is causing CPU utilization to go above 90%. The higher CPU usage triggers an event for Auto Scaling as per the scaling policy. If the user wants to find the root cause inside the application without triggering a scaling activity, how can he achieve this?
A. Stop the scaling process until research is completed
B. It is not possible to find the root cause from that instance without triggering scaling
C. Delete Auto Scaling until research is completed
D. Suspend the scaling process until research is completed
Answer: D
Explanation:
Auto Scaling allows the user to suspend and then resume one or more of the Auto Scaling processes in the Auto Scaling group. This is very useful when the user wants to investigate a configuration problem or some other issue, such as a memory leak with the web application and then make changes to the application, without triggering the Auto Scaling process.