A(n) ________ relationship in an ERD indicates that each instance of one entity can be associated with multiple instances of another entity.
- Many-to-Many
- Many-to-One
- One-to-Many
- One-to-One
In an ERD, a Many-to-Many relationship signifies that each instance of one entity can be related to multiple instances of another entity, and vice versa. This relationship is common in database modeling scenarios.
The Kafka ________ is responsible for managing the metadata of topics, partitions, and replicas.
- Broker
- Consumer
- Producer
- Zookeeper
The Kafka Zookeeper is responsible for managing the metadata of topics, partitions, and replicas. It maintains information about the structure and configuration of the Kafka cluster.
Which of the following best describes the primary purpose of a data warehouse?
- Providing real-time analytics
- Storing historical data for analysis
- Storing raw data for operational processes
- Supporting online transaction processing (OLTP)
The primary purpose of a data warehouse is to store historical data for analysis, enabling organizations to make informed decisions based on trends and patterns over time.
Which component of Kafka is responsible for storing the published messages?
- Kafka Broker
- Kafka Consumer
- Kafka Producer
- ZooKeeper
The Kafka Broker is responsible for storing the published messages. It manages the storage and distribution of data across topics in Kafka.
What does ACID stand for in the context of RDBMS?
- Accuracy, Control, Isolation, Durability
- Association, Coordination, Integration, Distribution
- Atomicity, Consistency, Isolation, Durability
- Authentication, Configuration, Installation, Deployment
ACID stands for Atomicity, Consistency, Isolation, and Durability. It is a set of properties that ensure that database transactions are processed reliably. Atomicity ensures that either all the operations within a transaction are successfully completed or none of them are. Consistency ensures that the database remains in a consistent state before and after the transaction. Isolation ensures that the transactions are isolated from each other. Durability ensures that once a transaction is committed, its changes are permanently stored in the database even in the event of system failures.
________ is a distributed consensus algorithm used to ensure that a distributed system's nodes agree on a single value.
- Apache Kafka
- MapReduce
- Paxos
- Raft
Paxos is a well-known distributed consensus algorithm designed to achieve agreement among a group of nodes in a distributed system. It ensures that all nodes agree on a single value, even in the presence of network failures and node crashes. Paxos has been widely used in various distributed systems to maintain consistency and reliability.
In data cleansing, identifying and handling duplicate records is referred to as ________.
- Aggregation
- Deduplication
- Normalization
- Segmentation
Deduplication is the process of identifying and removing duplicate records or entries from a dataset. Duplicate records can arise due to data entry errors, system issues, or data integration challenges, leading to inaccuracies and redundancies in the dataset. By detecting and eliminating duplicates, data cleansing efforts aim to improve data quality, reduce storage costs, and enhance the effectiveness of data analysis and decision-making processes.
Which of the following is an example of data inconsistency that data cleansing aims to address?
- Consistent formatting across data fields
- Duplicated records with conflicting information
- Timely data backups and restores
- Uniform data distribution across databases
An example of data inconsistency that data cleansing aims to address is duplicated records with conflicting information. These duplicates can lead to discrepancies and errors in data analysis and decision-making processes. Data cleansing techniques, such as data deduplication, help identify and resolve such inconsistencies to ensure data integrity and reliability.
Which phase of the ETL process involves extracting data from various sources?
- Aggregation
- Extraction
- Loading
- Transformation
The extraction phase of the ETL process involves extracting data from multiple sources such as databases, files, or applications to be used for further processing.
Which of the following SQL statements is used to add a new column to an existing table?
- ALTER TABLE ADD COLUMN
- CREATE TABLE
- INSERT INTO
- UPDATE TABLE SET
The SQL statement used to add a new column to an existing table is ALTER TABLE ADD COLUMN. This statement allows you to modify the structure of an existing table by adding a new column, specifying its name, data type, and any additional constraints.
What is the purpose of ETL (Extract, Transform, Load) in a data warehouse?
- To execute transactions efficiently
- To extract data from various sources, transform it, and load it
- To optimize queries for reporting
- To visualize data for end-users
ETL processes are crucial in data warehousing for extracting data from disparate sources, transforming it into a consistent format, and loading it into the data warehouse for analysis and reporting purposes.
Scenario: You are working on a project where data integrity is crucial. A new table is being designed to store employee information. Which constraint would you use to ensure that the "EmployeeID" column in this table always contains unique values?
- Check Constraint
- Foreign Key Constraint
- Primary Key Constraint
- Unique Constraint
A Unique Constraint ensures that the values in the specified column or set of columns are unique across all rows in the table. It is commonly used to enforce uniqueness but does not necessarily imply a primary key or foreign key relationship.