APM Data science and technology

اے سی سی اے · اسٹریٹجک پروفیشنل · 7 سوالات

نام: ____________________ تاریخ: ____________

Analytics that explains why something happened is:
- A Diagnostic analytics
- B Prescriptive analytics
- C Descriptive analytics
- D Predictive analytics
Predicting next quarter's demand from past sales and seasonal data is an example of:
- A Descriptive analytics
- B Predictive analytics
- C Diagnostic analytics
- D Prescriptive analytics
A data warehouse is:
- A A central store of integrated data from several systems used for analysis
- B A firewall
- C A paper archive
- D A single transaction system
Which of the following is the main risk of a machine learning model used to approve loans?
- A It is too transparent
- B It is always accurate
- C It may reproduce bias that is in the historical data
- D It cannot process data
Enterprise resource planning systems help performance management mainly by:
- A Removing the need for controls
- B Replacing management
- C Making data private
- D Integrating data from many functions into one system
Which statement about correlation is correct?
- A A correlation of zero means the data is wrong
- B A strong correlation does not prove that one variable causes the other
- C A strong correlation proves causation
- D A correlation cannot be negative
Governance of a data analytics function should cover:
- A Data quality, model validation, privacy and ethical use
- B Only the choice of programming language
- C Only the cost of software
- D Only storage

جوابی کلید

1. A, 2. B, 3. A, 4. C, 5. D, 6. B, 7. A

Descriptive says what happened, diagnostic says why, predictive says what may happen, and prescriptive recommends action.
The model uses past patterns to forecast the future.
It supports reporting and analysis across the whole organisation.
Models learn from past decisions, which may include unfair patterns.
Common data reduces duplication and gives a single view.
Relationships may be coincidence or caused by a third factor.
Clear ownership and controls reduce the risks of poor or unethical use.