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NEW QUESTION: 1

A. Assign A.Datum employees an Online Plan 2 user subscription license
B. Set the value of the presence privacy mode setting to Automatically display presence information
C. Assign sales employees an Online Plan 2 user subscription license
D. Assign A.Datum employees an Online Plan 1 user subscription license
E. Set the value of the presence privacy mode setting to Display presence information only to user's contacts
F. Assign sales employees an Online Plan 1 user subscription license
Answer: B,C

NEW QUESTION: 2
There are two routers (RTA and RTB) between the source device and destination device. The Tracert command is used to detect the path between the two devices. During detection of the first hop (RTA), the source device sends a UDP packet with a TTL of 1 to an interface with a large interface number on the destination device. The TTL turns to 0 when the packet arrives at RTB, upon which RTA sends an ICMP
______ message to the source device.
A. Time Exceeded.
B. Echo Reply.
C. Echo Request.
D. Port Unreachable.
Answer: A

NEW QUESTION: 3
What is stored on an HP StoreOnce Backup System G2 internal USB flash stick? (Select two.)
A. A copy of the serial.txt, license.txt. and saap.txt files
B. All HBA, USB, and NIC firmware drivers for the HP StoreOnce device
C. Dsm.txt and so.log files from the HP StoreOnce appliance
D. A copy of the configuration of the D2D appliance
E. A version of Linux as the operating system
Answer: A,C

NEW QUESTION: 4
決定木アルゴリズムを使用しています。次のツリー深度で一般化するモデルを訓練しました。
10。
さまざまなツリー深度値を持つモデルのバイアスおよび分散プロパティを選択する必要があります。
各ツリーの深さに対してどのプロパティを選択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。

Answer:
Explanation:

Explanation:
In decision trees, the depth of the tree determines the variance. A complicated decision tree (e.g. deep) has low bias and high variance.
Note: In statistics and machine learning, the bias-variance tradeoff is the property of a set of predictive models whereby models with a lower bias in parameter estimation have a higher variance of the parameter estimates across samples, and vice versa. Increasing the bias will decrease the variance. Increasing the variance will decrease the bias.
References:
https://machinelearningmastery.com/gentle-introduction-to-the-bias-variance-trade-off-in-machine-learning/