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WorksheetsQuiz về Dữ liệu phi cấu trúc
Total questions: 95
Worksheet time: 1hrs 5mins
Choose the correct statement about unstructured data?
No answer is correct
Unstructured data can be numbers, names, dates, addresses, transaction information
Unstructured data is usually qualitative data
Unstructured data is usually quantitative data
An example of unstructured data is?
Customer survey feedback
Address
No answer is correct
Purchase date
Data management primarily focuses on which factor in an organization?
Data storage and backup
Data processing and analysis
Managing technical infrastructure
Policies and regulations and data security
Data quality management helps organizations
Ensure that data is accurate, consistent, complete, and timely
Protect data from security threats
Integrate data from multiple sources
Manage how data is created, stored, and deleted
Data management will help organizations solve which problem?
Create comprehensive data management policies
Ensure data is organized logically and easily accessible
Manage and organize data protection processes
Establish regulations on data access and usage permissions
Why is it necessary to manage enterprise data?
Data management helps businesses protect data safety
All answers are correct
Data management helps businesses shape business strategy
Data management helps businesses understand customers better
Data management helps organizations achieve which result?
Ensure data is stored and backed up safely
Analyze and report data for managers
Process, organize, and store data reasonably to serve business purposes
Establish data protection policies to ensure legality
What is the difference between fruit?
What is the difference between data governance and data management based on the main objective criteria?
Data governance ensures high-quality, consistent data while data management ensures data storage, processing, and analysis.
Data governance ensures high-quality data but not consistent, while data management ensures effective data storage, processing, and analysis.
None of the answers are correct.
Data management ensures high-quality, consistent data while data governance ensures data storage, processing, and analysis.
Why does data governance focus on long-term strategy while data management emphasizes short-term activities?
Data governance focuses on management tools and technologies, while data management cares about short-term results.
Data governance needs to establish policies and directions for the organization, while data management only needs to perform activities according to existing plans.
Data governance does not care about daily activities, while data management only focuses on long-term strategy.
Data governance only cares about collecting and analyzing data in the short term, while data management plans for the long term.
What is the importance of data governance in a business?
Helps enhance operational efficiency.
Helps ensure data quality.
All of the above.
Helps manage access rights and data security.
What benefits does data governance help organizations achieve?
Ensures data is not collected from different sources.
Increases the amount of data collected each day.
What benefits does data management help organizations achieve?
Ensure data is not collected from different sources
Increase the amount of data collected each day
Minimize transparency in data usage
Enhance operational efficiency and save time and resources
Why is it said that data management helps businesses save costs?
Because it will reduce the number of potential customers that the business can reach.
Because it will avoid duplication when performing tasks.
Because it will make decision-making more complex.
Because it will help double the workload that needs to be done.
What does a proactive approach to data management help businesses improve?
Increase the workload needed to consolidate data from multiple sources
Reduce the ability to share data securely between departments
Increase the amount of erroneous data that needs to be corrected
Reduce errors in data processing and improve the timeliness of data
Why is it said that thanks to data management, businesses can shape their business strategy?
Because thanks to data management, businesses understand more about their competitors
All of the above
Because thanks to data management, businesses understand more about consumers
Because thanks to data management, businesses understand more about industry trends
Data management helps the organization's data:
Data will be lost during analysis
Can be erroneous and biased
Have high quality, accuracy, and reliability
None of the above
An example of structured data is?
Customer's full name
Customer's address
Customer's phone number
All of the above
Which of the following describes data management correctly?
What is structured data?
Customer's full name
Customer's address
Customer's phone number
All of the above
Which of the following describes data management correctly?
Performing backup and data recovery operations
Focusing on organizing and analyzing data
Ensuring that data is managed and used legally and safely
Optimizing data usage for daily operations
What activities are included in data management?
Ensuring data always complies with legal regulations
Establishing data security policies and access controls
Setting standards for data protection
Organizing, storing, and processing data to meet usage needs
What is the timeframe for data management?
Medium term.
Short term and daily processes.
No correct answer
Long term and future-oriented
How does data management help reduce business risks?
Protecting data from security threats
Ensuring transparency in data usage and management
Identifying and mitigating risks related to inaccurate data usage or data loss
Enhancing data integration capabilities
Which of the following benefits is a result of data management?
Increasing the number of potential customers
Increasing data maintenance costs
Reducing compliance with data regulations
Enhancing data accuracy and minimizing risks
What does a proactive approach to data management help businesses achieve?
Reducing transparency in data processing
Increasing data usability and ensuring alignment with the organization's vision
Making data sharing between departments more difficult
Increasing costs related to poor data management
Data management primarily relates to which of the following factors?
Establishing data protection policies
Ensuring data security
Processing, organizing, and storing data
Establishing data access rules
Why is it said that tight data management helps employees access information faster?
Because it helps employees retrieve necessary data
Because it helps employees easily search and retrieve necessary information
Because it helps employees find necessary data
None of the answers are correct
What does a proactive approach to data governance help businesses with?
Makes it harder to detect security incidents
Reduces compliance with data security regulations
Increases uncontrolled access to data
Minimizes the risk of data leaks and protects sensitive information
One of the measures to improve external communication is what?
Enhancing data security through encryption
Role-based access control
Using CRM systems to personalize customer service
Eliminating duplicate data
Why is it necessary to establish data quality control rules?
To reduce storage and processing costs
To increase data retrieval speed between systems
To ensure data accuracy and support sound business decisions
Role-based data access control helps businesses achieve what?
What does role-based access control help businesses achieve?
Prevent unauthorized access and enhance data control
Automate data security processes
Increase system storage capacity
What is Master Data?
Data describing the attributes of entities in the business
Data that does not change frequently and is the foundation for business operations
Temporary data that changes frequently
Data that supports analysis and decision making
What does data integrity ensure in data management?
Only ensures data security
Ensures data is always accurate, consistent, and reliable
Creates new data for the system
Enhances data sharing capabilities
What does data normalization help in an organization?
Minimize data usage
Ensure data is used and managed according to common standards in the organization
Eliminate all errors in data
Create inconsistent data
What are the characteristics of Reference Data?
Often changes over time
Used in daily transactions
Used for analysis and decision making
Provides standardized codes and rules
What is Analytical Data primarily used for?
Standardizing conventions
Managing entities in the business
Supporting daily transactions
Analysis, decision making, and planning
How does Metadata help in managing data systems?
Creates a clear structure for data types, aiding retrieval and management
Manages financial transactions in the business.
Helps standardize conventions and international standards.
Provides information about customer behaviors
What is the relationship between transaction data and master data?
Transaction data and master data are completely independent
Transaction data is the change of master data in daily transactions
Transaction data is auxiliary data, unrelated to master data
Transaction data is not stored together with master data
How is reference data used in the data analysis process?
Has no role in data analysis
Provides standard values to help classify and normalize data
Replaces analytical data in the system
Reduces the accuracy of analytical data
How does transparency in data management help organizations?
Minimizes the amount of data that needs to be stored
Enhances trust, minimizes risk, and supports the audit process
Creates errors in data
Prevents any changes in data
How can data integrity be ensured during change management?
By monitoring and controlling all changes to reference and master data
By reducing the number of changes in data
By not allowing any changes to occur
By changing data without notification
Which principle in enterprise data governance clearly defines who is responsible for decisions, processes, and controls related to data?
Standardization
Integrity
Accountability
Change management
What actions must organizations take to ensure data transparency?
What actions must organizations take to ensure data is managed transparently and understandably?
Data must be shared with all stakeholders without discrimination
Data management decisions must be made without review and assessment
Data management processes must be described in detail and easy to follow
All data must be stored on a public platform
Why is it necessary to establish data backup and recovery policies?
To reduce data management costs
To increase data access speed
To ensure data continuity and safety in emergencies
What is one of the roles of reference data in the system?
Automatically change to fit new transactions
Ensure consistency and standardization of information such as country codes, currency types
Support the analysis of financial transactions over time
Provide analytical data for financial decisions
What does transparency in data management mean?
Data can only be accessed by the manager
Data management processes and policies are clearly implemented and traceable
Data is completely secured
All data is public
Which principle in enterprise data governance ensures that processes and activities related to data are carried out clearly, understandably, and traceably?
Standardization
Integrity
Auditability
Transparency
Which principle in enterprise data governance helps ensure consistency, accuracy, and ease of data exchange?
Which principle in enterprise data governance ensures consistency, accuracy, and ease of data exchange between departments and systems throughout the organization?
Transparency
Integrity
Standardization
Change Management
Which principle in enterprise data governance requires organizations to establish clear processes and common standards to ensure that data is always accurate, consistent, and retrievable from various sources throughout its lifecycle?
Change Management
Transparency
Standardization
Integrity
How does master data influence business operations?
Supports data analysis from transactions
Only used for financial reporting
Forms the basis for transactions and decisions in the business
Has no impact on other business operations
How does analytical data differ from transactional data?
Analytical data does not need to be organized, while transactional data needs to be organized for analysis
Analytical data is used for daily transactional activities, while transactional data supports decision-making
Analytical data is aggregated and unchanging, while transactional data changes frequently
What does transparency in data management mean?
Data can only be accessed by managers
Data is completely secured
All data is publicly available
Data management processes and policies are clearly implemented and can be tracked
What measures help mitigate the risk of data loss?
Create manual storage processes
Develop a disaster recovery plan (DRP)
Increase quantity
What measures help reduce the risk of data loss?
Create manual storage processes
Develop a disaster recovery plan (DRP)
Increase the number of technical staff
Regularly update software
What is the main purpose of enterprise data governance?
Reduce operating costs
Increase the amount of stored data
Ensure data accuracy, safety, and efficiency
Eliminate all human errors
What is transactional data?
Data that changes frequently and records daily activities
Data that describes the core entities of the business
Data used for normalization and classification
Data that does not change and supports analysis
What consequences can non-compliance risks cause?
Wrong business decisions
Data corruption due to technical issues
Data loss
Financial damage and loss of customer trust
What is the main goal of the data governance framework?
Reduce the amount of data in the organization
Increase data storage capacity and optimize costs
Speed up data processing and transmission
Ensure quality, security, accuracy, and value of data
The data governance framework plays an important role in the organization because
It supports building marketing strategies
It increases revenue and profit from data
It completely eliminates traditional data management processes
It ensures data is used for the right purpose and complies with legal regulations
Who is responsible for the accuracy and integrity of data in the organizational structure of the data governance framework?
Data analyst
Data manager
Data owner
Data user
The goal of the data governance framework does NOT include:
(a)
What is the framework of data governance?
Data Analyst
Data Manager
Data Owner
Data User
The goal of the data governance framework does NOT include:
Creating simulated datasets for testing.
Supporting business decision making.
Protecting data from unauthorized access.
Enhancing scientific data management capabilities.
The data governance framework does NOT include:
Supporting technologies and tools
Measurement and monitoring
Policies and principles
Business strategy formulation
Why is it necessary to have policies and principles in the data governance framework?
To increase the number of data users.
To minimize unnecessary data storage.
To speed up data processing.
To ensure data security and proper usage guidance.
Why is measurement and monitoring important in the data governance framework?
To build new management processes.
To reduce the cost of implementing management software.
To evaluate the effectiveness of data management and identify issues.
To eliminate all unnecessary data.
Which organization developed the Data Management Body of Knowledge (DMBOK) data governance framework?
Data Governance Institute (DGI).
ISACA
Data Management Association (DAMA).
Boston Consulting Group (BCG).
What does the SAS data governance framework primarily focus on?
Developing automated data management tools
Creating Data Governance maturity models
Building a dedicated workforce for data governance
Linking data governance with the strategic goals of the enterprise
Which organization developed COBIT, the global IT governance framework?
W3C.
ISACA.
IEEE.
ISO.
Which organization developed the DMBOK data governance framework?
What global IT governance framework was developed by which organization?
W3C.
ISACA.
IEEE.
ISO.
Which organization developed the DMBOK data governance framework and what does it provide for businesses?
Data Management Institute (DGI), focusing on data control in organizations
Global Data Association (GDA), providing principles for IT usage
Information Systems Audit and Control Association (ISACA), providing detailed guidance on data security
Data Management Association (DAMA), providing comprehensive knowledge on data governance
How does COBIT help organizations measure and control IT processes?
By defining the latest IT software requirements
By providing metrics and standards for evaluating IT process performance
By indicating methods to optimize profits from software sales
By guiding organizations to reduce investment costs in technology
Which factor in BCG's data governance framework helps organizations ensure consistency and transparency in data retrieval?
Staff training plans
Data structure
Data management processes
Data tools
What does the DMBOK data governance framework provide for businesses?
Detailed guidance on data security
Principles for IT usage
Comprehensive knowledge on data governance
Knowledge on data control in organizations
Which governance framework provides principles for IT usage?
COBIT
DGI.
BCG.
SAS.
What components does the Data Governance Framework consist of?
Legal regulations, contracts, and guidelines
Personnel, equipment, budget, and assets
Financial models, business plans, and software
Government
What components does a system include?
Legal regulations, contracts, and guidance documents
Personnel, equipment, budget, and assets
Financial models, business plans, and software
Policies, processes, standards, and tools
What is one of the important goals of the data governance framework?
Generate simulated data.
Protect data from unauthorized access
Ensure software procurement.
Control access time to data.
Enhancing the value of data helps organizations achieve:
Faster data usage.
Scaling hardware systems.
Business decisions based on reliable data
Reducing personnel hiring costs.
What do processes and regulations in the data governance framework primarily support?
Increase long-term data storage capacity
Ensure data analysis tools operate effectively.
Manage data collection, storage, processing, and control
Analyze and predict data
The governance framework focused on controlling data in organizations is:
DMBOK governance framework
COBIT governance framework
SAS governance framework
DGI governance framework
What factors does data management in the SAS governance framework include?
Quality management, security, and regulatory compliance of data
Financial management and organizational budget
Providing free analytical tools for all departments
Ensuring data is stored without time limits
What is the main purpose of BCG's data governance framework?
Ensure the business reduces software data costs
Manage third-party data tools
Build a detailed and professional data governance platform to ensure long-term stability and effectiveness
Improve data analysis capabilities without optimizing governance
BCG's data governance framework
What does the BCG data governance framework focus on to ensure consistency and transparency in data governance processes?
Operational processes and governance tools
Data structure, data catalog, and data model
Data security regulations and standards
Building data analysis and forecasting tools
Why is the role of the Data Steward important in data governance?
They only use data in daily operations.
They are responsible for overseeing and enforcing data policies.
They decide all data policies.
"Ensuring accurate, complete, and consistent data" is which goal of the data governance framework?
Ensuring regulatory compliance
Improving data quality
Enhancing data value
Optimizing resource utilization
Which role implements policies and oversees data?
Data manager
Data owner
Data user
Senior management
What does the COBIT data governance framework provide a roadmap for businesses to do in data governance?
Build a modern data storage system
Manage risks and measure performance
Support cost optimization in data management
Manage and maintain data
Which component in the data governance framework assigns roles and responsibilities for data governance?
Policies and principles
Supporting technology and tools
Processes and regulations
Organizational structure
