ServiceNow CTA Exam With Confidence Using Practice Dumps

A 5-stack instance structure (dev, QA, UAT, staging, production) provides several advantages:

A. Staging instance for troubleshooting: The staging instance closely mirrors the production environment, allowing for thorough testing and troubleshooting of changes before they are deployed to production.

C. Deployment testing: Each instance serves a specific testing purpose (QA for functional testing, UAT for user acceptance testing), ensuring comprehensive validation before production deployment.

D. Increased parallel activity: Different teams can work simultaneously in their respective instances, increasing development and testing efficiency.

Why not the other options?

B. Lower maintenance effort: A 5-stack structure can actually increase maintenance effort due to the need to manage multiple instances.

E. Single Dev track: A 5-stack structure typically supports multiple development tracks or branches.

Key governance factors for release and instance management include:

B. Operating model and development approach: Define the organization's approach to development (e.g., Agile, Waterfall), release cycles, and how different teams collaborate on the platform.

C. Platform scope and deployed applications: Clearly define the scope of the ServiceNow platform within the organization and the applications that will be deployed. This helps with planning and resource allocation.

E. Number and purpose of instance environments: Establish a clear instance strategy, including the number of instances (dev, test, prod, etc.), their purpose, and how they are used to support development and deployment processes.

Why not the other options?

A. Release performance and instance usage analytics: While these are important for monitoring and optimization, they are not primary governance factors.

D. Day-to-day instance performance metrics: These are operational metrics, not directly related to governance decisions.

The Identification and Reconciliation (I&R) module usesidentification rules to uniquely identify CIs. These rules help the system determine if a CI discovered or imported from a data source already exists in the CMDB or if it's a new CI.

Here's how it works:

Identification Rules:These rules define criteria for matching CIs based on their attributes (e.g., serial number, MAC address, hostname).

Matching and Reconciliation:When new data comes in, the I&R engine applies the rules to find potential matches. If a match is found, the system can either update the existing CI with new information or flag it as a potential duplicate for review.

Why not the other options?

A:While the I&R engine can facilitate merging duplicates, it doesn't automatically merge them without human review and approval.

C:Data source validation is important, but it's not the primary function of the I&R engine in duplicate reduction.

D:Assigning unique identifiers is a function of the CMDB itself, not specifically the I&R engine.