Q. Why choose Freemarker over Thymeleaf for form validation?
Freemarker offers simpler syntax, lightweight rendering, and better performance for text-heavy templates, making it ideal for server-side rendered forms in lightweight applications.
Q. Can Freemarker handle conditional rendering in forms?
Yes, Freemarker supports control structures like #if and #list, allowing developers to dynamically render form fields or messages based on validation results.
Q. How do you display validation errors on Freemarker templates?
You can display validation messages using ${errors} variables in .ftl files. By checking conditions for error existence, you can display field-specific error messages directly in the form UI.
Q. How is form validation implemented in Spring Boot?
Spring Boot integrates with the javax.validation API and Hibernate Validator to perform validation. You annotate fields with validation annotations like @NotNull, @Size, etc., and handle validation errors through BindingResult in controllers.
Q. What is the purpose of using Freemarker in a Spring Boot application?
Freemarker is a Java-based template engine that helps in rendering dynamic HTML pages from server-side data. In Spring Boot, it simplifies form rendering and validation messages while maintaining separation between logic and view.
Q. What trends are shaping the future of analytics in the cloud?
Serverless data warehouses AI/ML integration Real-time streaming analytics Data mesh architectures
Q. What challenges come with cloud-based analytics?
Data security and governance Cost management Integration with hybrid/on-prem systems Vendor lock-in risks
Q. How does cloud-native data analytics improve agility?
Teams can spin up data warehouses, pipelines, and visualization tools in minutes, instead of waiting weeks for on-prem provisioning
Q. What are common cloud services for analytics?
AWS Redshift, Google BigQuery, Azure Synapse, Databricks, and Snowflake.
Q. Why is cloud adoption accelerating data analytics?
Cloud platforms provide scalable, pay-as-you-go compute/storage, removing infrastructure bottlenecks for analytics.