TCS Technical Architect Interview Questions, Process, and Tips

Caching is a technique used to store frequently accessed data in memory for faster access.

• Caching can improve application performance by reducing the number of requests to the database or other external systems.

• Caching can be implemented at different levels such as application level, database level, and network level.

• Caching strategies include time-based expiration, least recently used (LRU) eviction, and invalidation.

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RabbitMQ is a message broker that enables communication between distributed systems. Service Worker is a browser API that allows background processing.

• RabbitMQ is used for asynchronous messaging between applications and services

• It supports multiple messaging protocols such as AMQP, MQTT, and STOMP

• Service Worker allows web applications to run scripts in the background, even when the browser is closed

• It can be used for t...read more

Microservices are small, independent services that work together, while monolithic is a single, large application.

• Microservices are loosely coupled and can be developed and deployed independently.

• Monolithic applications are tightly coupled and require a full deployment for any changes.

• Microservices allow for better scalability and fault tolerance.

• Monolithic applications can be simpler to develop and deploy initially.

• Ex...read more

Different connection protocols in Azure have separate access policies.

• Access policies can be set for different connection protocols such as HTTP, HTTPS, FTP, etc.

• Each protocol can have its own set of rules and permissions for accessing resources.

• For example, HTTPS may require a higher level of authentication than HTTP.

• Separate policies allow for more granular control over access to resources.

• This can improve security a

Design event hub generated source system data consumption architecture in Azure

• Create an event hub to receive data from source system

• Use Azure Stream Analytics to process and transform data

• Store data in Azure Data Lake Storage or Azure Blob Storage

• Use Azure Databricks or Azure HDInsight for further analysis

• Consider using Azure Functions for real-time processing

• Ensure proper security and access control measures are in p

Time travel functionality in Databricks allows users to query data at a specific point in time.

• Enable time travel on a table by setting the table property 'delta.enableChangeDataFeed' to true

• Use the AS OF clause in SQL queries to specify a specific point in time to query data

• Time travel can be used for auditing, debugging, and recovering lost data

• Example: SELECT * FROM table_name AS OF TIMESTAMP '2022-01-01 00:00:00'