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NEW QUESTION: 1
Which statement about the DFDL parser and domain is true?
A. The DFDL parser interprets a bit stream by using grammar defined in a DFDL schema file.
B. The DFDL parser is not an on-demand parser.
C. DFDL domain is intended for parsing and writing XML or JSON formatted messages.
D. DFDL domain is not intended for general text and binary message formats.
Answer: C
NEW QUESTION: 2
Which statement about Cisco devices learning about each other through Cisco Discovery Protocol is true?
A. Each device sends periodic advertisements to all IP addresses in its ARP table.
B. Each device broadcasts periodic advertisements to all of its neighbors.
C. Each device sends periodic advertisements to multicast address 01:00:0C:CC:CC:CC.
D. Each device sends periodic advertisements to a central device that builds the network topology.
Answer: C
NEW QUESTION: 3
IOSによって送信されるようにSNMPv3トラップを安全に構成する方法を説明する3つのオプションはどれですか？
（3つ選択してください。）
A. SNMPv3グループは、報告されるOIDの構成に使用されます。
B. SNMPv3ホストは、SNMPv3トラップの送信先を定義するように構成されています。
C. トラップの送信先のアドレスを設定するために、SNMPv3ビューが定義されています。
D. SNMPv3グループは、グループの読み取りおよび書き込みビューを構成するために定義されます。
E. SNMPv3ユーザーはSNMPv3グループに割り当てられ、暗号化および認証資格情報を定義します。
F. SNMPv3ホストは、SNMPv3トラップの暗号化および認証資格情報を構成するために使用されます。
Answer: B,D,E
NEW QUESTION: 4
You need to recommend the appropriate technology to provide the predictive analytics for passenger pickup.
What should you do?
A. Use Machine Learning Studio to create a predictive model and publish the results as a web service.
B. Use Power BI to analyze the traffic data and PowerPivot to categorize the results.
C. Use Hadoop on-premises to analyze the traffic and produce a report that shows high traffic zones.
D. Use HDInsight to analyze the traffic data and write a .NET program to categorize the results.
Answer: A
Explanation:
Explanation
* Scenario: Predictive Routing:
/ An Azure solution must be used for prediction systems.
/ Predictive analytics must be published as a web service and accessible by using the REST API.
* Microsoft Azure Machine Learning Studio is a collaborative visual development environment that enables you to build, test, and deploy predictive analytics solutions that operate on your data. The Machine Learning service and development environment is cloud-based, provides compute resource and memory flexibility, and eliminates setup and installation concerns because you work through your web browser.
References: https://azure.microsoft.com/en-us/documentation/articles/machine-learning-what-is-ml-studio/