What tool is specifically recommended to help manage database schema changes when updating your application code?
Table of Contents
- 1 What tool is specifically recommended to help manage database schema changes when updating your application code?
- 2 What best practices can you apply when creating a cloud Datastore entity with a numeric key Choose all that are correct?
- 3 Which of the following tool provides SQL like functionality for processing the structured data stored in cloud storage?
- 4 What are the best practices for SQL Server Change Management?
- 5 Which of the following GCP networking services will cache the content for better availability?
- 6 What is are the tools used for data analytics in Google cloud?
What tool is specifically recommended to help manage database schema changes when updating your application code?
One such tool, if you are utilizing a migration-based approach and Microsoft SQL Server as your DBMS, is Redgate ReadyRoll. This tool assists in the creation of sequentially named scripts for making changes to the database schema and the data contained in the database tables.
What best practices can you apply when creating a cloud Datastore entity with a numeric key Choose all that are correct?
Best Practices for using Cloud Datastore
- Let Cloud Datastore automatically assign the numeric ID for the key.
- When creating keys manually, get a block of IDs using the allocateIds() method.
- Avoid sequential numbering of keys.
How do you handle database schema changes?
Best Practices: Manage database schema changes with Database Migration (and version control)
- every database changes will be documented incrementally, as small as possible.
- database change script should include unique sequence number or timestamp.
- all database changes are tracked in version control.
Which of the following tool provides SQL like functionality for processing the structured data stored in cloud storage?
Analytical database capabilities
| Capability | Azure Data Explorer |
|---|---|
| Primary database model | Relational (column store), telemetry, and time series store |
| SQL language support | Yes |
| Pricing model | Elastically scalable cluster instances |
| Authentication | Based on Azure Active Directory identities |
What are the best practices for SQL Server Change Management?
The Best Database Change Management Practices
- Make sure that you deploy with a roll forward and rollback scripts.
- The BAN Select.
- Ensure that you perform backup to the affected data.
- Build a feature flag.
- Involve a DBAs IN THE test process and review.
What is a database schema change?
A schema change is an alteration made to a collection of logical structures (or schema objects) in a database. Schema changes are generally made using structured query language (SQL) and are typically implemented during maintenance windows.
Which of the following GCP networking services will cache the content for better availability?
Cloud CDN now caches any content with the appropriate caching headers, served through the Anycast IP (or any domain names mapped to that IP through DNS records). In addition, Cloud CDN’s documentation lists some best practices that can help you optimize its use for your content.
What is are the tools used for data analytics in Google cloud?
This works either Spark SQL, Hive, Spark, and other tools. Use BigQuery for real-time analytics—you can use BigQuery to create a SQL-based pipeline with stream processing and use Dataflow and Pub/Sub with Beam.
What is change management in SQL Server?
SQL Server database change management was originally a manual and time consuming process as code was migrated between development, test (QA) and production environments. With these tools that has all changed.