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NEW QUESTION: 1
Which of the following statements are true about data aggregation?
A. A common aggregation purpose is to get more information about particular groups based on specific variables.
B. Data aggregation cannot be user-based.
C. Online analytic processing (OLAP) is a simple type of data aggregation.
D. Data aggregation is any process in which information is gathered and expressed in a summary form.
Answer: A,C,D
Explanation:
Data aggregation is any process in which information is gathered and expressed in a summary form, for purposes such as statistical analysis. A common aggregation purpose is to get more information about particular groups based on specific variables such as age, profession, or income. The information about such groups can then be used for Web site personalization to choose content and advertising likely to appeal to an individual belonging to one or more groups for which data has been collected. For example, a site that sells music CDs might advertise certain CDs based on the age of the user and the data aggregate for their age group. Online analytic processing (OLAP) is a simple type of data aggregation in which the marketer uses an online reporting mechanism to process the information.
Answer B is incorrect. Data aggregation can be user-based. Personal data aggregation services offer the user a single point for collection of their personal information from other Web sites. The customer uses a single master personal identification number (PIN) to give them access to their various accounts (such as those for financial institutions, airlines, book and music clubs, and so on). Performing this type of data aggregation is sometimes referred to as "screen scraping."

NEW QUESTION: 2
A raw data file is listed below:
--------10-------20-------30 squash 1.10 apples 2.25 juice 1.69
The following SAS program is submitted using the raw data file above:
data groceries;
infile 'file-specification';
input item $ cost;
run;
Which one of the following completes the program and produces a grand total for all COST values?
A. grandtot = sum cost;
B. grandtot = sum(grandtot,cost);
output grandtot
C. retain grandtot 0;
grandtot = sum(grandtot,cost);
D. grandtot = sum(grandtot,cost);
Answer: C

NEW QUESTION: 3
비용 집계는 일반적으로 다음에 따라 작업 패키지를 집계하여 수행됩니다.
A. 작업 분류 체계 (WBS).
B. 대략적인 크기 (ROM).
C. 프로그램 평가 및 리뷰 기법 (PERT).
D. 품질 원가 (COQ).
Answer: A

NEW QUESTION: 4
The WS_API enables you to perform useful functions, such as:
A. Integrating CA AppLogic with CA Access Control to protect your web applications.
B. Implementing a WebX4 Linux cluster as an assembly of appliances.
C. Migrating users from CA AppLogic versions before r3.0.
D. Invoking commands through the RESTful application programming interface (API).
Answer: D