Eliminate Risk of Failure with ServiceNow CTA Exam Dumps

To streamline application deployment and ensure consistency across multiple instances, the CTA should prioritize recommending the use of the Application Repository to centralize and distribute custom apps.

Here's why:

Centralized Repository: The Application Repository provides a central location to store and manage custom applications.

Easy Distribution: Applications can be easily published and distributed to other instances from the repository.

Consistency: Using the repository helps ensure that all instances have the same version of an application, promoting consistency and reducing conflicts.

Why not the other options?

A . Use it for a Citizen Development program: While the repository can support citizen development, it's not its primary purpose in this scenario.

B . Employ it for real-time collaborative coding: The repository is not designed for real-time collaborative coding.

D . Use it as a backup for all global application packages: While it can be used for backups, its primary benefit here is for centralized management and distribution.

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.

In a multi-development environment stack in ServiceNow, the types of splits commonly refer to how development efforts are organized and managed across different environments.

Product-based splits:

Development efforts are divided based on specific products or modules. For instance, one team may work on ITSM while another works on ITOM.

Release-based splits:

Development is split by different release versions. Teams may work on different versions of the same product for testing, updates, or new features.

These splits help manage concurrent development efforts efficiently, especially in environments with multiple teams and priorities.

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.

The primary factor in determining the number of MID Servers needed is the number of targets and interaction frequency.

Targets: The number of devices, applications, or external systems that ServiceNow needs to interact with (e.g., for discovery, orchestration, integrations).

Interaction Frequency: How often ServiceNow needs to communicate with these targets (e.g., continuous monitoring, scheduled data imports).

Why not the other options?

A . The number of network routers in use: While network infrastructure is important, it's not the primary factor for MID Server sizing.

C . The number of concurrent users on the instance: User activity impacts application server load, not directly the number of MID Servers needed.

D . The geographical spread of the organization: Geographic spread can influence MID Server placement, but the primary factor is the number of targets and interaction frequency.