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NEW QUESTION: 1
Which three statements about VXLANs are true? (Choose three.)
A. A VXLAN ID is a 32-bit value.
B. Layer 2 frames are encapsulated in IP, using a VXLAN ID to identify the source VM.
C. A VXLAN gateway maps VXLAN IDs to VLAN IDs.
D. IGMP join messages are sent by new VMs to determine the VXLAN multicast IP.
E. It requires that IP protocol 8472 be opened to allow traffic through a firewall.
Answer: B,C,D
Explanation:
Each VXLAN segment, or VNID, is mapped to an IP multicast group in the transport IP network. Each VTEP device is independently configured and joins this multicast group as an IP host through the Internet Group Management Protocol (IGMP). The IGMP joins trigger Protocol Independent Multicast (PIM) joins and signaling through the transport network for the particular multicast group. The multicast distribution tree for this group is built through the transport network based on the locations of participating VTEPs.
NEW QUESTION: 2
ノーザントレイルアウトフィッターズ（NTO）の販売管理チームは、商談の成立に時間がかかることに気付きました。歴史的に、新しい機会がクローズド/ウォンに移行するまでには30日かかりました。最近、この期間は45日に増加しました。原因を特定するために、販売管理チームはどの分析ツールを利用できますか？ 2つの答えを選んでください
A. リードコンバージョンの月間傾向のダッシュボード
B. 商談ステージ期間のダッシュボード
C. 見積もりの割引承認時間に関するレポート
D. キャンペーンの投資収益率（ROI）に関するレポート
Answer: B,C
NEW QUESTION: 3
You are building an intelligent solution using machine learning models.
The environment must support the following requirements:
* Data scientists must build notebooks in a cloud environment
* Data scientists must use automatic feature engineering and model building in machine learning pipelines.
* Notebooks must be deployed to retrain using Spark instances with dynamic worker allocation.
* Notebooks must be exportable to be version controlled locally.
You need to create the environment.
Answer:
Explanation:
Explanation:
Step 1: Create an Azure HDInsight cluster to include the Apache Spark Mlib library Step 2: Install Microsot Machine Learning for Apache Spark You install AzureML on your Azure HDInsight cluster.
Microsoft Machine Learning for Apache Spark (MMLSpark) provides a number of deep learning and data science tools for Apache Spark, including seamless integration of Spark Machine Learning pipelines with Microsoft Cognitive Toolkit (CNTK) and OpenCV, enabling you to quickly create powerful, highly-scalable predictive and analytical models for large image and text datasets.
Step 3: Create and execute the Zeppelin notebooks on the cluster
Step 4: When the cluster is ready, export Zeppelin notebooks to a local environment.
Notebooks must be exportable to be version controlled locally.
References:
https://docs.microsoft.com/en-us/azure/hdinsight/spark/apache-spark-zeppelin-notebook
https://azuremlbuild.blob.core.windows.net/pysparkapi/intro.html
NEW QUESTION: 4
How should an ArcGIS Pro user calculate attribute values for a large number of features within an open attribute table?
A. Edit tab > Select target rows > Type the desired values into each cell
B. Edit tab > Select target rows > Type one desired value into the top row > Use the Fill geoprocessing tool to calculate the remaining values
C. Right-click the target field in the table > Select the Calculate Field option to build and apply a value calculation
D. Make Table View geoprocessing tool > Create an expression that applies the calculation
Answer: A
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