What is the primary purpose of Apache Kafka?
- Data visualization and reporting
- Data warehousing and batch processing
- Message streaming and real-time data processing
- Online analytical processing (OLAP)
The primary purpose of Apache Kafka is message streaming and real-time data processing. Kafka is designed to handle high-throughput, fault-tolerant messaging between applications and systems in real-time.
Scenario: Your company operates in a highly regulated industry where data privacy and security are paramount. How would you ensure compliance with data protection regulations during the data extraction process?
- Data anonymization techniques, access controls, encryption protocols, data masking
- Data compression methods, data deduplication techniques, data archiving solutions, data integrity checks
- Data profiling tools, data lineage tracking, data retention policies, data validation procedures
- Data replication mechanisms, data obfuscation strategies, data normalization procedures, data obsolescence management
To ensure compliance with data protection regulations in a highly regulated industry, techniques such as data anonymization, access controls, encryption protocols, and data masking should be implemented during the data extraction process. These measures help safeguard sensitive information and uphold regulatory requirements, mitigating the risk of data breaches and unauthorized access.
What is the primary abstraction in Apache Spark for working with distributed data collections?
- Data Arrays
- DataFrames
- Linked Lists
- Resilient Distributed Dataset (RDD)
DataFrames are the primary abstraction in Apache Spark for working with distributed data collections. They provide a higher-level API for manipulating structured data and offer optimizations for efficient distributed processing.
The documentation of data modeling processes should include ________ to provide clarity and context to stakeholders.
- Data Dictionary
- Flowcharts
- SQL Queries
- UML Diagrams
The documentation of data modeling processes should include a Data Dictionary to provide clarity and context to stakeholders by defining the terms, concepts, and relationships within the data model.
Kafka uses the ________ protocol for communication between clients and servers.
- Apache Avro
- HTTP
- Kafka
- TCP
Kafka uses the Kafka protocol for communication between clients and servers. This protocol is specifically designed for efficient and reliable messaging in the Kafka ecosystem.
Which normal form addresses the issue of transitive dependency?
- Boyce-Codd Normal Form (BCNF)
- First Normal Form (1NF)
- Second Normal Form (2NF)
- Third Normal Form (3NF)
Third Normal Form (3NF) addresses the issue of transitive dependency by ensuring that all attributes in a table are dependent only on the primary key, eliminating indirect relationships between attributes.
In a key-value NoSQL database, data is typically stored in the form of ________.
- Documents
- Graphs
- Rows
- Tables
In a key-value NoSQL database, data is typically stored in the form of documents, where each document contains a unique key and an associated value. This flexible structure allows for easy storage and retrieval of data.
How do data modeling tools like ERWin or Visio facilitate collaboration among team members during the database design phase?
- By allowing integration with project management tools for task tracking
- By enabling concurrent access and version control of the data model
- By offering real-time data validation and error checking
- By providing automated code generation for database implementation
Data modeling tools like ERWin or Visio facilitate collaboration by allowing team members to concurrently access and modify the data model while maintaining version control, ensuring consistency across edits.
Which of the following statements about Apache Hadoop's architecture is true?
- Hadoop follows a master-slave architecture
- Hadoop is primarily designed for handling structured data
- Hadoop operates only in a single-node environment
- Hadoop relies exclusively on SQL for data processing
Apache Hadoop follows a master-slave architecture where the NameNode acts as the master and manages the Hadoop Distributed File System (HDFS), while DataNodes serve as slaves, storing and processing data.
The process of optimizing the performance of SQL queries by creating indexes, rearranging tables, and tuning database parameters is known as ________.
- Database Optimization
- Performance Enhancement
- Query Tuning
- SQL Enhancement
Query tuning involves various activities such as creating indexes, optimizing SQL queries, rearranging tables, and adjusting database parameters to improve performance.