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The Path to Insights: Data Models and Pipelines Module 3 challenge Quiz Answers

Module 3 challenge Quiz Answers

Question 1)
A business intelligence professional wants to avoid system failures. They check over their data in order to identify missing data, inconsistent data, or any other data defects. What does this scenario describe?

• Quality testing
• Making trade-offs
• Optimizing response time
• Data partitioning

Question 2)
A business intelligence professional is confirming that their data conforms to the actual entity being measured or described. Which quality testing validation element does this involve?

• Consistency
• Accuracy
• Completeness
• Integrity

Question 3)
A business intelligence professional is working with a data warehouse. They perform various tasks to confirm that the data is timely and the pipeline is ingesting the latest information. For what reasons is this an important element of business intelligence? Select all that apply.

• To ensure the data is updated properly
• To provide relevant insights
• To map the data correctly
• To have the most current information

Question 4)
Conformity is an aspect of establishing consistent data governance. What are the key tools involved with conformity? Select all that apply.

• Data lineages
• Schema validation
• Combined systems
• Data dictionaries

Question 5)
What are the goals of schema validation? Select all that apply.

• To preserve table relationships
• To establish row-based permissions
• To confirm the validity of database keys
• To ensure consistent conventions

Question 6)
Fill in the blank: A data _____ is a collection of information that describes the content, format, and structure of data objects within a database, as well as their relationships.

• lineage
• dictionary
• model
• map

Question 7)
What elements of database design are affected by business rules? Select all that apply.

• How relationships are defined
• The maturity of the data
• What data is collected, stored, and provided
• The security of the data

Question 8)
Quality testing involves checking data for defects in order to prevent what from happening?

• Contention
• System failure
• Fragmentation
• Redundancy

Question 9)
A business intelligence professional is confirming that their data contains all desired components or measures. Which quality testing validation element does this involve?

• Completeness
• Accuracy
• Integrity
• Consistency

Question 10)
A business intelligence team analyzes current data in order to confirm that stakeholders gain the most up-to-date insights in the future. In this situation, what aspect of data do they consider?

• Redundancy
• Conformity
• Maturity
• Timeliness

Question 11)
Fill in the blank: To ensure _____ from source to destination, business intelligence professionals use schema validation, data dictionaries, and data lineages.

• context
• visibility
• conformity
• security

Question 12)
What process involves confirming the validity of database keys, preserving table relationships, and ensuring that conventions are consistent?

• Schema validation
• Typecasting
• Sorting
• Data composition

Question 13)
A business intelligence professional establishes what data will be collected, stored, and provided in a database. They also confirm how relationships are defined and the security of the data. What process does this scenario describe?

• Optimization
• Database modeling
• Iteration
• Creating business rules

Question 14)
Fill in the blank: Quality testing is the process of checking data for _____ in order to prevent system failures.

• granularity
• links
• defects
• scalability

Question 15)
A data warehouse is supposed to contain weekly data, but it does not update properly. As a result, the pipeline fails to ingest the latest information. What aspect of the data is being affected in this situation?

• Conformity
• Redundancy
• Timeliness
• Maturity

Question 16)
Fill in the blank: Schema validation properties preserve table relationships, ensure consistent conventions, and ensure database _____ are still valid.

• keys
• models
• permissions
• interfaces

Question 17)
Which of the following statements accurately describe data dictionaries and data lineages? Select all that apply.

• A data lineage describes the process of identifying the origin of data, where it has moved throughout the system, and how it has transformed over time.
• A data dictionary is a collection of information that describes the content, format, and structure of data objects within a database.
• A data lineage is a collection of information that describes the content, format, and structure of data objects within a database, as well as their relationships.
• A data dictionary describes the process of identifying the origin of data, where it has moved throughout the system, and how it has transformed over time.

Question 18)
Fill in the blank: Business rules affect what data is collected and stored in a database, how relationships are defined, the kind of information the database provides, and the _____ of the data.

• readability
• granularity
• maturity
• security