Metadata Lesson Quiz

What is one of the outcomes you should be able to achieve at the end of this lesson regarding metadata?

• Apply metadata to help achieve a data governance task

• Remove metadata for data security purposes

• Ignore metadata in data analysis

• Use metadata to reduce data quality

Answer explanation

The correct outcome at the end of this lesson is to apply metadata to help achieve a data governance task, not to remove or ignore metadata, or use it to reduce data quality.

What should you be able to do with data classes and infotypes by the end of this lesson?

• Assign data to unrelated data classes

• Assign data to the correct data class and infotype

• Disregard the classification of data

• Merge different data classes into one

Answer explanation

Assign data to the correct data class and infotype means correctly categorizing and organizing data according to their respective classes and infotypes by the end of the lesson.

By the end of this lesson, what should you be able to construct for a dataset?

• A complex algorithm unrelated to metadata

• An inappropriate metadata dictionary

• An appropriate metadata dictionary

• A data visualization graph

Answer explanation

By constructing an appropriate metadata dictionary, you should be able to organize and describe the dataset effectively for better understanding and analysis.

What is a data strategy?

• A plan for how to engage with social media

• A method for organizing company events

• A framework for collecting, storing, managing, and using data

• A technique for improving personal time management

Answer explanation

A data strategy is a framework for collecting, storing, managing, and using data, making it the correct choice among the options provided.

What are the main reasons for having a data strategy?

• To improve data security and data quality

• To increase social media presence

• To reduce employee turnover

• To enhance the company's brand image

Answer explanation

The main reasons for having a data strategy are to improve data security and data quality, ensuring the correct answer choice.

List three benefits of a data strategy.

• Better customer service, improved product quality, and reduced costs

• Increased office space, faster internet speeds, and more holidays

• Enhanced employee benefits, larger parking lots, and free lunches

• More company vehicles, higher salaries, and longer breaks

Answer explanation

A data strategy can lead to better customer service, improved product quality, and reduced costs, which are all crucial benefits for a business.

What are the different types of a data strategy?

• Offensive and defensive

• Proactive and reactive

• Short-term and long-term

• Domestic and international

Answer explanation

The correct types of a data strategy are offensive and defensive, focusing on attacking opportunities and defending against risks respectively.

What are the main data strategy goals, and how are they related to data offense and data defense?

• To increase revenue and cut costs; offense focuses on revenue, defense on cost-cutting

• To improve employee satisfaction and reduce workload; offense focuses on satisfaction, defense on workload

• To enhance brand reputation and expand market share; offense focuses on reputation, defense on market share

• To develop new products and enter new markets; offense focuses on products, defense on markets

Answer explanation

The main data strategy goals are to increase revenue and cut costs, with offense focusing on revenue and defense on cost-cutting. This choice aligns with the relationship between data strategy goals and data offense/defense.

What are the four types of data analytics, and what is each of them about?

• Descriptive, diagnostic, predictive, and prescriptive

• Historical, current, future, and speculative

• Qualitative, quantitative, theoretical, and practical

• Basic, intermediate, advanced, and expert

Answer explanation

The correct answer is descriptive, diagnostic, predictive, and prescriptive. Descriptive analytics focuses on summarizing data, diagnostic on finding causes of events, predictive on forecasting future outcomes, and prescriptive on recommending actions.

What is a key element of a good data strategy according to the document?

• Knowing what data you have at the most granular level

• Having the largest amount of data possible

• Keeping data unrestricted and freely accessible

• Focusing on data that is not sensitive or personally identifiable

Answer explanation

Knowing what data you have at the most granular level is a key element of a good data strategy, as mentioned in the document.