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NEW QUESTION: 1
In designing a clinical trial, the method utilized to deal with inherent differences between groups is to:
A. Assign patients to groups randomly.
B. Evaluate the results using statistical methods.
C. Use blinding techniques.
D. Use a control or comparison group.
Answer: C
NEW QUESTION: 2
Refer to the exhibit.
A tunnel is configured between R3 to R4 sourced with their loopback interfaces. The ip pim sparse-dense mode command is configured on the tunnel interfaces and multicast-routing is enabled on R3 and R4. The IP backbone is not configured for multicast routing.
The RPF check has failed toward the multicast source.
Which two conditions could have caused the failure? (Choose two.)
A. The route back to the RP is through the same tunnel interface.
B. The backbone devices can only route unicast traffic.
C. The route back to the RP is through a different interface than tunnel 0.
D. A static route that points the RP to GigabitEthernet1/0 is configured.
Answer: C,D
Explanation:
For a successful RPF verification of multicast traffic flowing over the shared tree (*,G) from RP, an ip mroute rp-address nexthop command needs to be configured for the RP address, that points to the tunnel interface.
A very similar scenario can be found at the reference link below: Reference: http://www.cisco.com/c/en/us/support/docs/ip/ip-multicast/43584-mcast-overgre.html
NEW QUESTION: 3
マーケティング部門は財務部門からレーザープリンターを受け取りました。マーケティング部門は、レーザープリンタをイーサネットネットワークに接続したいと考えていますが、物理的なネットワークジャックがありません。このプリンタをネットワークに接続するために、技術者が最初に試す必要があるのは次のうちどれですか？
A. 部門に適したプリンタモデルを注文します。
B. 統合プリントサーバーをインストールします。
C. ファームウェアの更新についてはベンダーにお問い合わせください。
D. プリンターをシリアルA / Bスイッチに接続します。
Answer: B
NEW QUESTION: 4
You are performing a classification task in Azure Machine Learning Studio.
You must prepare balanced testing and training samples based on a provided data set.
You need to split the data with a 0.75:0.25 ratio.
Which value should you use for each parameter? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Split rows
Use the Split Rows option if you just want to divide the data into two parts. You can specify the percentage of data to put in each split, but by default, the data is divided 50-50.
You can also randomize the selection of rows in each group, and use stratified sampling. In stratified sampling, you must select a single column of data for which you want values to be apportioned equally among the two result datasets.
Box 2: 0.75
If you specify a number as a percentage, or if you use a string that contains the "%" character, the value is interpreted as a percentage. All percentage values must be within the range (0, 100), not including the values 0 and 100.
Box 3: Yes
To ensure splits are balanced.
Box 4: No
If you use the option for a stratified split, the output datasets can be further divided by subgroups, by selecting a strata column.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/split-data
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