ServiceNow ServiceNowCertified Technical Architect (CTA) CTA Exam Dumps: Updated Questions & Answers (October 2025)

The primary purpose of Test Management 2.0 is to streamline manual testing processes. It provides a structured framework for:  

Planning and Designing Tests: Creating test plans, test cases, and test suites.

Executing Tests: Tracking test execution and recording results.  

Managing Defects: Logging and tracking defects found during testing.  

Reporting: Generating reports on test coverage, progress, and results.  

Why not the other options?

B. To generate test cases automatically: While Test Management 2.0 can help with test case design, it doesn't automatically generate them.

C. To automate software testing processes: This is the role of the Automated Testing Framework (ATF). Test Management 2.0 can be used alongside ATF to manage automated tests.  

D. To replace human testers with AI: While AI can assist with testing, Test Management 2.0 is primarily designed to support human testers, not replace them.

The Automated Testing Framework (ATF) is the best tool for quickly validating critical processes after a ServiceNow instance upgrade. Here's why:

Automated Execution: ATF allows you to create automated tests that can be run quickly and repeatedly after the upgrade. This significantly reduces the time required for testing compared to manual methods.  

Comprehensive Coverage: You can create automated tests for various processes, workflows, UI actions, and business rules, ensuring comprehensive validation of critical functionality.  

Regression Testing: ATF is particularly valuable for regression testing, ensuring that the upgrade hasn't introduced any unexpected issues or broken existing functionality.  

Why not the other options?

A. Test Management 2.0: While Test Management 2.0 provides a framework for managing tests, it doesn't inherently shorten the testing time itself. It can be used with ATF to organize and track automated tests.  

C. Manual testing scripts: Manual testing is time-consuming and prone to errors, especially for repetitive tasks involved in upgrade validation.  

D. System health dashboard: This dashboard provides an overview of system performance and health, but it doesn't directly validate specific processes or workflows.

Automated testing is ideal for scenarios involving repetitive tasks over extended periods. Here's why:  

Efficiency: Automated tests can execute tasks much faster than humans.  

Consistency: Automated tests perform the same steps precisely every time, eliminating human error.  

Endurance: Automated tests can run continuously for long durations without fatigue.

Regression Testing: Automated tests are excellent for regression testing, repeatedly checking that existing functionality hasn't been broken by new changes.  

Why not the other options?

B. Usability testing: Focuses on user experience and requires human observation.

C. Ad hoc testing: Informal, unplanned testing without specific test cases.  

D. Manual testing: Performed by humans, which can be time-consuming and prone to errors for repetitive tasks.  

Master/Core data in ServiceNow refers to the foundational data that is essential for the platform's operation and various applications. This includes:

A. Approval Policies: These define the rules and workflows for approvals within the platform, impacting various processes.

C. CMDB data: The Configuration Management Database (CMDB) contains critical information about IT assets, services, and their relationships.

E. User information: Data about users, their roles, and their permissions is crucial for access control and security.

Why not the other options?

B. Transaction logs: These are operational data that record system activities, not core master data.

D. Service model data: While important, service model data is typically built upon the foundation of master data like the CMDB and user information.

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.

Version Control: It allows for versioning of applications, making it easier to track changes and roll back if needed.

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.

In the context of ServiceNow technical governance, environmental management primarily focuses on defining the instance structure. This includes:

Instance Segmentation: Determining how many instances are needed (e.g., separate instances for development, test, and production) and how they relate to each other.

Instance Upgrades: Establishing policies and procedures for managing instance upgrades, including scheduling, testing, and communication.

Instance Maintenance: Defining guidelines for ongoing maintenance activities, such as patching, backups, and performance monitoring.

Why not the other options?

B. Data ownership: Data ownership is typically addressed within data governance policies, not specifically environmental management.

C. User access policies: User access policies are part of security governance and are handled through roles, permissions, and access control lists.  

D. Application customization: Application customization is governed by development and configuration standards, not directly by environmental management.

In ServiceNow Integration Hub, spokes act as connectors to third-party APIs. They provide a standardized way to connect to and interact with external systems and applications.

Here's how spokes work:

Pre-built Connectors: Spokes offer pre-built connectors for many popular applications and services, simplifying the integration process.

API Abstraction: Spokes abstract the complexity of different APIs, providing a consistent interface for interacting with various systems.

Actions and Triggers: Spokes define actions (to perform operations on the external system) and triggers (to listen for events in the external system).

Why not the other options?

A. To design custom automation workflows: While spokes are used within automation workflows, their primary function is to connect to external systems.

B. To create custom user interface designs: UI design is not the primary role of spokes.

D. To manage ServiceNow database connections: Database connections are handled by other mechanisms within ServiceNow.

In the final planning stage of a ServiceNow integration, the CTA should prioritize assessingnetwork and system communication needs. This involves:

Connectivity: Verifying network connectivity between ServiceNow and the external system. This includes checking firewalls, ports, and any required network configurations.

Protocols: Determining the communication protocols to be used (e.g., REST, SOAP, JDBC).

Security: Ensuring secure communication channels, including authentication and encryption requirements.

Performance: Considering bandwidth requirements and potential performance impacts on both systems.

Why not the other options?

B. Determining the color scheme for integration UI: While UI considerations are important, they are not the primary focus during the technical details gathering stage.

C. Planning the communication for the integration go-live: Communication planning is important but separate from the technical details of the integration itself.

D. Estimating the projected integration data metrics: Data volume estimates are useful, but the primary focus is on ensuring successful communication between the systems.

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.

The KPI that directly relates to the issue of missing required and recommended fields isCompleteness.

Completeness:This KPI measures the extent to which CI records have all the necessary information filled in. Missing required or recommended fields indicate a lack of completeness in the CMDB data.

Why not the other options?

Compliance:Compliance focuses on whether CIs meet defined standards and policies, not necessarily on the completeness of their data.

Correctness:Correctness relates to the accuracy of the data in the CMDB, not whether all required fields are populated.

Relationships:Relationships measure the connections between CIs, not the completeness of individual CI records.