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NEW QUESTION: 1
A company developed and now runs a memory-intensive application on multiple Amazon EC2 Linux instances The memory utilization metrics of the EC2 Linux instances must be monitored every minute.
How should the SysOps Administrator publish the memory metrics? (Select TWO )
A. Publish the memory metrics using Amazon CloudWatch Logs
B. Enable detailed monitoring on the instance within Amazon CloudWatch
C. Publish the memory metrics to Amazon CloudWatch Events
D. Publish the memory metrics using the Amazon CloudWatch agent
E. Set metrics collection interval to 60 seconds
Answer: B,D
NEW QUESTION: 2
Which filter must be enabled in the Cisco APIC API Inspector to view API calls?
A. fatal
B. warn
C. info
D. trace
E. error
F. debug
Answer: F
NEW QUESTION: 3
Azure Machine Learning Studioで分類タスクを実行しています。
提供されたデータセットに基づいて、バランスの取れたテストおよびトレーニングサンプルを準備する必要があります。
0.75:0.25の比率でデータを分割する必要があります。
各パラメーターにどの値を使用する必要がありますか? 回答するには、回答エリアで適切なオプションを選択します。
注:それぞれの正しい選択には1ポイントの価値があります。
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
NEW QUESTION: 4
What statement about licensing for Over The Top (OTT) and Team Engagement (TE) is correct?
A. OTT and TE both use a port-based licensing model.
B. OTT uses a port-based licensing model while TE uses a user-based licensing model.
C. OTT and TE both use a user-based licensing model.
D. OTT uses a user-based licensing model while TE uses a user-port licensing model.
Answer: D