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Which strategy is recommended for effective communication during the go-live phase?
Effective communication during a go-live is crucial for keeping stakeholders informed and managing expectations. The best strategy is to describe released functionality and provide knowledge base articles. Here's why:
Clarity and Transparency: Clearly communicate what new features or changes are being released, so users understand what to expect.
Knowledge Base Articles: Provide detailed documentation and knowledge base articles to help users learn about the new functionality and how to use it.
Proactive Communication: Don't wait for issues to arise before communicating. Keep users informed about the progress of the go-live and any potential impacts.
Targeted Communication: Tailor communication to different audiences (e.g., end-users, IT staff, management).
Why not the other options?
A . Focus communications only on immediate supervisors: This limits information flow and can lead to confusion and frustration among other stakeholders.
B . Provide minimal updates to avoid overloading the team: Under-communication can create anxiety and uncertainty. It's better to provide regular, concise updates.
C . Postpone any form of communication until all issues are resolved: This is unrealistic and can damage trust. Communicate openly about challenges and progress towards resolution.
What are the types of splits in a multi-development environment stack?
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.
When advising on release and instance management, what should be considered as key governance factors?
Choose 3 answers
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.
What are the advantages of a 5-stack instance structure that consists of development, quality assurance, user acceptance testing, staging, and production?
Choose 3 answers
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.
What approach reduces complexity and maintenance overhead when assigning data ownership?
Assigning data ownership by role is the most effective way to reduce complexity and maintenance overhead. Here's why:
Clear Responsibility: Roles are associated with specific responsibilities and functions within an organization. Assigning data ownership to a role ensures that someone is clearly accountable for the quality and accuracy of that data.
Reduced Overhead: When people change positions or leave the organization, the data ownership remains with the role, not the individual. This reduces the need to constantly update ownership assignments.
Consistency: Role-based ownership promotes consistency in data management practices and ensures that data is handled according to defined standards.
Why not the other options?
A . Assigning data ownership by location: This can create confusion and inconsistencies, especially in organizations with multiple locations or remote teams.
C . Assigning data ownership by attribute: This can be overly granular and difficult to manage, especially for large datasets.
D . Assigning data ownership by entity: This can lead to unclear ownership and potential conflicts if multiple entities are involved with the same data.
