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NEW QUESTION: 1
What do cross-campaign rules control?
A. The maximum number of times the contact can be counted in campaign result metrics.
B. The maximum number of campaign-related email messages that can be sent to a contact in a specified time period.
C. The maximum number of mailing lists a contact can subscribe to.
D. The maximum number of campaigns a contact can participate in.
Answer: A
NEW QUESTION: 2
Which of the following does PRINCE2 recognize as being project characteristics?
1.Projects are the means by which we introduce business change
2.Projects have a defined start and end
3.No project is unique
4.Projects often cross the normal functional divisions within an organization
A. 1, 3, 4
B. 1, 2, 4
C. 2, 3, 4
D. 1, 2, 3
Answer: B
NEW QUESTION: 3
Which of the following is a method for transforming a message into a masked form, together with a way of undoing the transformation to recover the message?
A. CrypTool
B. MIME
C. Cipher
D. Steganography
Answer: C
NEW QUESTION: 4
If a dataset contains rows with individual people and columns for year of birth, country, and income, how many of the columns are continuous and how many are categorical?
A. 1 continuous and 2 categorical
B. 2 continuous and 1 categorical
C. 3 continuous
D. 3 categorical
Answer: B
Explanation:
The columns can be grouped into two types--categorical and continuous columns:
A column is called categorical if its value can only be one of the categories in a finite set. For example, the native country of a person (U.S., India, Japan, etc.) or the education level (high school, college, etc.) are categorical columns.
A column is called continuous if its value can be any numerical value in a continuous range. For example, the capital gain of a person (e.g. $14,084) is a continuous column. Year of birth and income are continuous columns. Country is a categorical column. You could use bucketization to turn year of birth and/or income into categorical features, but the raw columns are continuous.
Reference: https://www.tensorflow.org/tutorials/wide#reading_the_census_data