Gainwell Commosales CRM Architect Interview Questions and Answers

Drupal best practices involve following coding standards, using modules wisely, optimizing performance, and maintaining security.

• Follow Drupal coding standards to ensure consistency and readability of code

• Use contributed modules from trusted sources and avoid unnecessary custom code

• Optimize performance by caching content, enabling compression, and minimizing database queries

• Maintain security by keeping Drupal core and ...read more

Drupal Cache Mechanism stores and retrieves data to improve website performance.

• Drupal has multiple cache bins like page cache, block cache, and dynamic page cache.

• Cache tags are used to invalidate specific cache items when content is updated.

• Cache contexts allow different versions of a page to be served based on user roles or languages.

• Cache max-age sets the time for which a cached item is considered valid before it n

Developed a custom Drupal module for creating a custom content type with specific fields and functionality.

• Created a custom module folder within the Drupal installation

• Defined the custom content type and its fields in the module's .info file

• Implemented hook functions to handle data processing and display logic

• Used Drupal's Form API to create custom forms for data input and editing

• Integrated with other Drupal modules or

I will design the data models by analyzing the requirements, identifying entities and relationships, creating entity-relationship diagrams, and normalizing the data.

• Analyze the requirements to understand the data needs

• Identify entities and their relationships

• Create entity-relationship diagrams to visualize the structure

• Normalize the data to reduce redundancy and improve efficiency

Datawarehouse design patterns are strategies for organizing data in a datawarehouse to optimize performance and efficiency.

• Star schema

• Snowflake schema

• Galaxy schema

• Data Vault

• Federated datawarehouse

We used the Extract, Transform, Load (ETL) design pattern in our last project.

• We extracted data from multiple sources such as databases, APIs, and files.

• We transformed the data by cleaning, filtering, and aggregating it to fit the target data model.

• We loaded the transformed data into the destination database or data warehouse.

• We used tools like Informatica, Talend, or Apache NiFi for ETL processes.