How can API throttling be configured to adapt to varying server loads and usage patterns?

  • Apply throttling only during peak traffic hours.
  • Rely on user feedback to determine throttling limits.
  • Set a fixed throttling rate and stick to it.
  • Use a dynamic throttling approach based on server metrics and usage data.
To adapt API throttling to varying server loads and usage patterns, it's essential to use a dynamic approach. This involves analyzing server metrics and usage data to adjust throttling limits in real-time, ensuring optimal performance and resource utilization based on the current situation.

How do HTTP methods (like GET, POST, PUT, DELETE) correlate with operations in Web APIs?

  • They are only used for authentication.
  • They are used for coding web pages.
  • They have no relation to Web APIs.
  • They map to common CRUD operations (Create, Read, Update, Delete) in Web APIs.
HTTP methods like GET, POST, PUT, and DELETE directly correspond to common CRUD operations in Web APIs. GET retrieves data, POST creates new data, PUT updates existing data, and DELETE removes data. This correlation simplifies the interaction with Web APIs and helps developers understand the purpose of each request method.

You are tasked with enhancing the security of an existing API. How would integrating OpenID Connect and RBAC contribute to improving the security?

  • Integrating OpenID Connect adds a robust authentication layer to the API, while RBAC ensures that only authorized users have access to specific resources, enhancing overall security.
  • OpenID Connect and RBAC have no impact on API security.
  • OpenID Connect increases the risk of security breaches.
  • RBAC should be used exclusively without OpenID Connect for security improvement.
Integrating OpenID Connect and RBAC is a powerful combination for enhancing API security. OpenID Connect provides strong authentication, verifying the user's identity, while RBAC ensures that only authorized users have access to specific resources. Together, they improve overall security by preventing unauthorized access and data breaches. The other options are incorrect and do not contribute positively to API security.

Relay optimizes for performance with a local store that keeps track of all the _____ fetched via GraphQL queries.

  • Data and schema
  • Data fetched via REST APIs
  • Errors and exceptions
  • Relational databases and tables
Relay optimizes for performance with a local store that keeps track of all the data and schema fetched via GraphQL queries. This local store allows for efficient data caching and management, improving the performance of applications using GraphQL with Relay.

Why might a developer choose to use JWT for authorization over other methods?

  • Centralized authentication control
  • Extensive access control mechanisms
  • Simplicity and portability
  • Strong encryption and obfuscation
Developers might choose JWT (JSON Web Tokens) for authorization due to their simplicity and portability. JWTs are self-contained and can be easily passed between parties, making them an efficient choice for handling user authentication and authorization. They are particularly useful when a stateless and distributed authorization method is required.

Can you describe the role of Identity Provider (IdP) in OpenID Connect?

  • A component responsible for API rate limiting
  • A database for user profiles and data
  • A service that issues authentication tokens
  • A software for load balancing
In OpenID Connect, an Identity Provider (IdP) is a crucial component responsible for issuing authentication tokens to users. It authenticates users and provides them with identity tokens, which are then used to access resources or APIs. Understanding the role of IdPs is vital in the context of user authentication and authorization.

An e-commerce company wants to track changes in customer addresses but doesn't want to retain the history of previous addresses. What type of SCD should be implemented?

  • SCD Type 1
  • SCD Type 2
  • SCD Type 3
  • SCD Type 4
To track changes in customer addresses without retaining the history of previous addresses, you should implement SCD Type 1. This type overwrites existing data with the new address information, ensuring that only the most recent data is retained. SCD Type 2, 3, and 4 involve preserving historical data, which is not necessary in this scenario.

What is the primary challenge associated with incremental loads in terms of data integrity and consistency?

  • Detecting and synchronizing changes
  • Ensuring data privacy and security
  • Handling data redundancy
  • Maintaining referential integrity
The primary challenge with incremental loads in ETL processes is detecting and synchronizing changes in the source data. Ensuring that only the changes are loaded while maintaining data integrity and consistency is a complex task. It often involves mechanisms to identify inserts, updates, and deletions in the source data and apply corresponding changes in the target system.

The concept in ERP where data is entered once and is then accessible from multiple applications without redundancy is referred to as _______.

  • Data Integration
  • Data Redundancy
  • Data Silo
  • Single Point Entry
The concept in ERP systems where data is entered once and can be accessed from multiple applications without redundancy is known as "Single Point Entry." This approach reduces data duplication and ensures data consistency and accuracy across the organization.

A manufacturing company wants to integrate its supply chain management with its financial accounting. Which ERP module should be primarily considered?

  • Finance
  • Human Resources
  • Sales and Marketing
  • Supply Chain Management
To integrate supply chain management with financial accounting, the primary ERP module to consider is the Finance module. This module handles financial transactions, budgeting, and accounting processes, making it essential for tracking the financial aspects of the supply chain. While other modules are important, finance is the core module for financial integration.

In a data warehouse scenario, what does a "materialized view" specifically help with?

  • Data encryption
  • Data extraction
  • Speeding up query performance
  • Storing historical data
A "materialized view" in a data warehouse is a precomputed summary table that helps speed up query performance. It stores aggregated or computed data, reducing the need to perform complex calculations during queries, thereby improving response times for analytical queries. Materialized views are valuable in data warehousing for optimizing query performance.

Which OLAP operation allows users to view more detailed data by navigating from a higher level of aggregation to a lower one?

  • Dice
  • Drill-down
  • Roll-up
  • Slice
The OLAP operation known as "Drill-down" allows users to navigate from a higher level of aggregation to a lower one, providing more detailed data. This is essential for exploring data hierarchies and gaining insights into specific elements within a broader context.