Questions and Answers
What technique allows users to formulate queries using natural language rather than a formal query language?
What is a key advantage of using API toolkits over internally developed APIs?
What is the primary function of a connector factory in interface management?
Why do big data challenges necessitate a different approach to API development?
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Which of the following is a requirement for database engines in a big data environment?
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What allows specific interfaces to be created quickly without building services for each data source?
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What is a consequence of encrypting only necessary data elements?
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Which method is commonly used to provide access to and from software implementations?
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What is a primary challenge associated with data encryption in big data environments?
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How does application access to data in big data environments generally function?
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What is one approach recommended for organizations to enhance threat detection in big data?
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Which aspect of big data security control should ensure data is available only to users with a legitimate business need?
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What is a common misconception regarding user access to big data compared to traditional data?
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What is a key factor that affects the encryption process in big data systems?
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What do APIs in big data primarily provide to secure application access?
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Which unique challenge do organizations face when integrating big data into their strategy?
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What strategy might organizations consider to adequately address the resource strain caused by data encryption?
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Which of the following best describes the ACID property of databases regarding atomicity?
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What does the 'consistency' aspect of ACID principles ensure in a database?
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How does isolation in ACID properties contribute to database functionality?
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What is a key advantage of using NoSQL databases compared to RDBMS for big data applications?
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What foundational benefit do organizing data services provide in big data environments?
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Which of the following best outlines the potential challenges posed by data encryption in database management?
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What role do APIs (Application Programming Interfaces) play in the context of database management?
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What is typically emphasized in the scalability aspect of organizing data services?
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Study Notes
Data Security and Encryption
- Identify essential data elements requiring heightened security, encrypting only what is necessary.
- Security and privacy requirements for big data align with those of conventional environments, with unique challenges present.
Interfaces and API Development
- Interfaces allow bidirectional access to corporate applications and Internet data feeds.
- APIs provide standardized methods for data access; API toolkits offer advantages over custom APIs.
- Big data adoption necessitates new approaches to API development due to unstructured data from external sources.
Natural Language Processing (NLP)
- NLP simplifies querying data by accepting natural language syntax over traditional languages like SQL.
- Techniques such as connector factories introduce efficiency and abstraction, streamlining interface creation using XML.
Operational Databases
- Core databases in big data environments must be fast, scalable, and reliable.
- The effectiveness of a big data environment can vary depending on the chosen database engines or their mix.
Layered Security Infrastructure
- User access to big data requires stringent security, only allowing legitimate business needs.
- Application access through APIs typically protects against unauthorized usage.
- An increase in data from mobile devices and social networks necessitates a multiperimeter security approach to manage threats.
Data Encryption Challenges
- Data encryption remains a complex issue within big data due to system resource strain during encryption/decryption.
- Traditional relational database systems may not be practical for all big data needs due to performance, scale, and cost limitations.
ACID Transaction Model
- ACID defines the transactional behavior of databases:
- Atomicity: All parts of a transaction succeed or none do.
- Consistency: Only valid transactions are processed.
- Isolation: Simultaneous transactions do not interfere.
- Durability: Data permanence after a transaction.
Organizing Data Services and Tools
- Organizing data services enhance data capture, validation, and assembly into relevant collections.
- Tools in this ecosystem focus on integration, translation, normalization, and scalability to handle massive data volumes effectively.
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Description
This quiz explores the principles of data security focused on the encryption of sensitive data elements and the role of APIs in interfacing with applications. Test your knowledge on the necessary security measures and data management practices essential for engaging with corporate systems and the Internet.