ServiceNow CIS-CPG Exam Dumps & Practice Test Questions
Question 1:
In the ServiceNow Orlando release or later, you are working with Cloud Provisioning and Governance, aiming to enhance deployment consistency. You wish to utilize predefined Application Profiles to apply standardized configurations and policies across your provisioned cloud resources.
Where can an Application Profile be utilized to apply reusable configurations and policies in ServiceNow’s Cloud Provisioning and Governance module?
A. Server-side function
B. MID Server script function
C. Blueprint phase actions
D. Post-deployment tasks
Answer: C
Explanation:
ServiceNow's Cloud Provisioning and Governance module is designed to help organizations efficiently manage and automate the provisioning of cloud resources. It provides capabilities to create standardized, reusable configurations for cloud environments. These configurations are often referred to as Application Profiles in the system. The goal of using these profiles is to enhance consistency across cloud deployments by applying predefined configurations and policies.
Application Profiles in ServiceNow are typically utilized during specific stages of the cloud provisioning process. The Blueprint phase actions are crucial here, as they allow administrators to define and manage the set of actions that are to be performed during the provisioning process, such as applying configurations, enforcing policies, and performing checks or validations. The blueprint phase essentially maps out the steps involved in provisioning cloud resources, and the Application Profiles can be applied to these phases to ensure that standardized settings and policies are applied consistently across all cloud resources being provisioned.
Let’s break down the other options to clarify why they are not correct:
A. Server-side function: This refers to functions that run on the server to perform backend operations. While server-side functions are important in ServiceNow, they are not specifically used to apply standardized configurations or policies from Application Profiles to cloud resources during provisioning. These functions may be used in other contexts, but not specifically for applying application profiles in Cloud Provisioning and Governance.
B. MID Server script function: The MID (Management, Instrumentation, and Discovery) Server in ServiceNow facilitates communication between ServiceNow and on-premises systems or external services. A MID Server script function would be used for scripting tasks that involve interacting with external systems but does not directly deal with applying standardized configurations or policies to cloud resources.
D. Post-deployment tasks: Post-deployment tasks in ServiceNow are generally used for actions that happen after cloud resources have been provisioned. While post-deployment tasks can involve tasks such as validation, monitoring, or follow-up actions, they are not typically the place where Application Profiles are applied to enforce reusable configurations and policies.
In conclusion, C. Blueprint phase actions is the correct choice because this is where predefined configurations and policies from Application Profiles are applied to ensure consistent deployment in the cloud provisioning process.
Question 2:
You are tasked with monitoring the cloud resource usage across your organization and want to identify the user group responsible for initiating the most stack deployments in ServiceNow’s Cloud Provisioning and Governance.
Which dashboard or record type will allow you to assess and compare which user group is initiating the most stack deployments?
A. Cloud Operations Dashboard
B. Cloud Activities
C. Cloud Request Records
D. Cloud Orchestration History
Answer: B
Explanation:
In ServiceNow’s Cloud Provisioning and Governance module, monitoring and tracking cloud resource usage and stack deployments is critical to ensure efficiency, resource optimization, and cost management. The key to answering this question lies in understanding the most relevant record types or dashboards available within ServiceNow that offer insights into cloud activities, particularly stack deployments.
The Cloud Activities record type is designed to provide detailed logs and records of actions related to cloud provisioning and governance. This includes information on stack deployments, actions performed by users, and other operational activities. By using Cloud Activities, you can identify which user groups are responsible for initiating the most stack deployments. It allows you to filter, group, and analyze data by various criteria, including user groups, providing the necessary insight into user behavior and deployment trends.
Let’s look at the other options and explain why they are not as suitable:
A. Cloud Operations Dashboard: The Cloud Operations Dashboard in ServiceNow provides an overview of cloud operations, focusing on resource consumption, performance, and overall operational health. While this dashboard is valuable for monitoring high-level cloud metrics, it is not specifically designed for tracking individual actions like which user group is initiating stack deployments. The Cloud Operations Dashboard is more focused on performance and usage rather than user-specific activity tracking.
C. Cloud Request Records: Cloud Request Records are used to track the individual requests made for cloud resources, such as server instances or storage allocations. While these records are important for understanding the resource allocation process, they do not specifically capture the user group initiating stack deployments. They are more focused on the request lifecycle rather than the detailed activity logs related to stack provisioning.
D. Cloud Orchestration History: Cloud Orchestration History captures details of the orchestration processes and workflows in ServiceNow. This record type provides insight into the execution history of automation processes like workflows or tasks. While orchestration history is important for understanding the execution of provisioning tasks, it is not the best choice for tracking the specific user groups involved in initiating stack deployments, as it focuses more on the technical workflow execution rather than user activity.
In conclusion, B. Cloud Activities is the best choice for monitoring user group activity related to stack deployments, as it provides detailed records of all cloud-related actions, including user-specific deployment initiations. This allows you to assess and compare which user group is initiating the most stack deployments.
Question 3:
In the ServiceNow Cloud Provisioning and Governance, you need to manage and restrict the number of stacks or resources users can deploy using specific templates. You want to enforce predefined limits based on teams or business units.
Which feature in ServiceNow Cloud Provisioning and Governance allows you to set and enforce quotas for stack deployments?
A. Application Profiles
B. Resource Pools
C. Policies
D. Budgeting
Answer: C
Explanation:
In ServiceNow’s Cloud Provisioning and Governance module, managing and enforcing deployment quotas is an essential part of controlling cloud resource usage and ensuring that teams or business units do not exceed predefined limits. The system provides a set of features to help administrators enforce these kinds of restrictions. The key feature for enforcing deployment quotas is Policies.
Policies in ServiceNow Cloud Provisioning and Governance allow organizations to enforce rules and restrictions based on various factors, including resource usage, stack deployments, and other operational parameters. Policies can be configured to apply limits on the number of stacks or resources a team or business unit can deploy. These limits are often based on templates or other criteria, enabling the enforcement of a clear set of rules that apply across the organization. Policies can be specifically tailored to each team or business unit, making them a powerful tool for ensuring compliance with deployment limits and preventing resource overuse.
Let's examine the other options to understand why they are not suitable for this specific need:
A. Application Profiles: Application Profiles are used to define standardized configurations and settings that can be applied to cloud resources or stacks during provisioning. While they help ensure consistency and standardization, they are not designed to set or enforce quotas. Application Profiles focus more on configurations and less on limiting the number of resources that can be deployed.
B. Resource Pools: Resource Pools are used to group cloud resources together based on specific criteria, such as resource types or regions. While resource pools help manage and allocate resources efficiently, they do not provide the functionality to enforce quotas or limits on the number of deployments. Instead, they focus on organizing resources for easier management.
D. Budgeting: Budgeting in ServiceNow Cloud Provisioning and Governance is related to tracking and managing the financial aspects of cloud resource usage, such as costs and expenditures. While budgeting is useful for controlling cloud spending, it does not directly enforce limits on the number of deployments or resources that can be provisioned. It focuses more on financial control rather than operational limits on stack deployments.
In conclusion, C. Policies is the correct choice because it allows administrators to define and enforce quotas for stack deployments. Policies are specifically designed to manage deployment limits and ensure that predefined resource usage limits are respected, making them the ideal tool for this scenario.
Question 4:
You are designing a Catalog Item in ServiceNow that leverages either an Azure Resource Manager (ARM) or an AWS CloudFormation Template (CFT). The requirement is to automatically populate the Order Form with a list of relevant Configuration Items (CIs) from the ServiceNow CMDB, based on user context or specific criteria. When creating a Catalog Item using an ARM or CFT template.
Which feature in ServiceNow will ensure the Order Form variable is populated dynamically with the correct list of Configuration Items from the CMDB?
A. Expressions
B. Mappings
C. Conditions
D. Metadata
Answer: B
Explanation:
When designing a Catalog Item in ServiceNow, especially one that interacts with external cloud templates such as Azure Resource Manager (ARM) or AWS CloudFormation Template (CFT), it’s essential to ensure that the order form dynamically populates with relevant Configuration Items (CIs) from the ServiceNow CMDB. This is crucial for enabling users to choose the appropriate CIs based on their context or specific criteria.
The feature in ServiceNow that allows for the dynamic population of the order form based on user context or specific criteria is Mappings. Mappings define relationships between catalog variables and data from external systems, such as the CMDB. These mappings allow you to associate specific CIs or other data in the CMDB with the catalog item. By setting up appropriate mappings, the order form can automatically retrieve and display relevant CIs to users when they fill out the form, ensuring that they are selecting the correct resources for their request.
Let’s look at the other options to clarify why they are not suitable:
A. Expressions: In ServiceNow, expressions are used to define complex logic or calculations that determine how a variable is displayed or calculated in the order form. While expressions can control the display or logic of variables, they are not designed specifically to populate the order form with data from the CMDB. They are more for evaluating or formatting data, not for retrieving it dynamically based on user context.
C. Conditions: Conditions in ServiceNow are used to control when a catalog item or variable is displayed to the user based on certain criteria (such as user role, location, or other attributes). However, conditions are not used to dynamically populate catalog variables with a list of CIs from the CMDB. They are more about visibility and triggering actions based on predefined rules.
D. Metadata: Metadata refers to the data that describes other data, such as the structure and characteristics of a template or catalog item. While metadata can help describe the structure of the catalog item or external templates, it is not the tool used to dynamically populate the order form with a list of CIs from the CMDB.
In conclusion, B. Mappings is the correct feature in ServiceNow for dynamically populating the Order Form with the correct list of Configuration Items from the CMDB based on the user context or specific criteria. This feature enables the automated and context-sensitive selection of resources when using an ARM or CFT template in the catalog item.
Question 5:
After ingesting a new version of an existing cloud provisioning template (e.g., AWS CloudFormation Template or Azure ARM template) into ServiceNow Cloud Provisioning and Governance (CPG), you want to ensure the associated Order Form in the Catalog Item is updated to reflect the latest changes.
What step must be taken after ingesting a new template version to ensure the Catalog Item’s Order Form is updated with the new template parameters and variables?
A. Modify the Cloud Variables in the Catalog Item
B. Deactivate and reactivate the Catalog Item
C. Refresh the browser page
D. Enable the new template version
Answer: D
Explanation:
When a new version of a cloud provisioning template, such as an AWS CloudFormation Template or Azure ARM template, is ingested into ServiceNow Cloud Provisioning and Governance (CPG), it is essential to ensure that the associated Catalog Item reflects the latest changes, including updated parameters and variables. The step required to update the associated Order Form in the Catalog Item after ingesting a new version of the template is to enable the new template version.
This is because ServiceNow's Cloud Provisioning and Governance module tracks different versions of the templates. When a new version is ingested, it is not automatically applied to any existing catalog items. Enabling the new template version ensures that the Catalog Item uses the most recent version, incorporating any updates to parameters, variables, or other configuration changes that were made in the new version of the template. This step is essential to reflect the most current state of the provisioning template in the Catalog Item’s Order Form.
Let’s evaluate why the other options are not correct:
A. Modify the Cloud Variables in the Catalog Item: While modifying Cloud Variables may be necessary to adjust certain catalog item settings, this step alone does not ensure that the Catalog Item is updated with the new template version. The new template version needs to be enabled for the Order Form to reflect the latest changes in the template parameters and variables.
B. Deactivate and reactivate the Catalog Item: Deactivating and reactivating the Catalog Item does not trigger an update to the associated cloud template version. It may refresh the Catalog Item but will not ensure that the new template version is applied or that the Order Form is updated with the latest parameters and variables.
C. Refresh the browser page: Refreshing the browser page will reload the user interface but does not apply the changes made to the cloud provisioning template. This action will not update the Catalog Item to reflect the newly ingested template version and associated changes.
In conclusion, D. Enable the new template version is the correct answer because this is the necessary step to ensure that the Catalog Item’s Order Form reflects the latest changes made in the cloud provisioning template, including any updates to parameters and variables.
Question 6:
You are implementing a post-provisioning operation in ServiceNow Cloud Provisioning and Governance, where tasks such as software installation or system service configuration need to be performed after a virtual machine (VM) is provisioned. You need to securely collect credentials to authenticate with the newly provisioned resource.
Which feature in ServiceNow Cloud Provisioning and Governance will allow you to securely handle and use credentials for post-provisioning operations?
A. Response Processor
B. Expressions
C. Cloud Script
D. Patterns
Answer: A
Explanation:
In ServiceNow Cloud Provisioning and Governance (CPG), post-provisioning operations such as software installation or system service configuration typically require the secure handling of credentials to authenticate and interact with the newly provisioned resources. The Response Processor is the feature designed to securely collect, handle, and use credentials during these operations.
The Response Processor in ServiceNow is responsible for processing sensitive data, including credentials, in a secure manner. It allows for the handling of authentication information such as usernames and passwords, which is crucial when performing tasks like configuring a virtual machine (VM) after it has been provisioned. The Response Processor ensures that credentials are not exposed in an insecure manner, thus maintaining security during post-provisioning operations. This feature can interact with provisioning workflows to securely pass the credentials needed for further configuration tasks.
Let’s break down why the other options are not the best choice for this scenario:
B. Expressions: Expressions in ServiceNow are typically used for defining complex logic or calculating values for catalog items or variables. While expressions are useful for logic and conditional formatting, they do not specialize in securely handling sensitive data such as credentials. Expressions are more focused on the dynamic behavior of catalog items or variables, not the secure storage and use of authentication information.
C. Cloud Script: Cloud Scripts are often used for automating tasks within ServiceNow Cloud Provisioning and Governance, such as interacting with cloud resources or triggering post-provisioning actions. However, cloud scripts alone do not specifically address the secure handling and storage of credentials. While they can invoke processes and manage post-provisioning tasks, Cloud Script does not provide the dedicated security mechanisms needed for securely managing sensitive credentials.
D. Patterns: Patterns are predefined templates used to configure cloud resources and services based on specific requirements. While patterns are valuable for automating resource provisioning, they are not directly responsible for securely handling credentials. They focus more on defining the structure and configuration of resources, rather than managing secure access or authentication.
In conclusion, A. Response Processor is the correct feature in ServiceNow Cloud Provisioning and Governance for securely handling and using credentials during post-provisioning operations. It ensures that sensitive authentication data, such as usernames and passwords, are processed securely and used appropriately for tasks like software installation or system service configuration.
Question 7:
A customer is currently using ServiceNow Cloud Provisioning and Governance (CPG) on the New York release and is deploying Azure Virtual Machines (VMs) using Blueprints. The customer is upgrading to the latest release that introduces enhanced cloud-native provisioning features. After upgrading to the latest release of CPG.
Which two provisioning methods will be supported for deploying Azure VMs? (Choose two.)
A. Jenkins Workflow
B. Azure Blueprint Service
C. Puppet Manifests
D. Azure ARM Templates
E. Upgrades are not supported from New York
F. Terraform Configuration Files
Answer: B, D
Explanation:
In the context of ServiceNow Cloud Provisioning and Governance (CPG), as the customer upgrades to the latest release with enhanced cloud-native provisioning features, several provisioning methods for deploying Azure Virtual Machines (VMs) become available. Let’s examine the options:
B. Azure Blueprint Service: The Azure Blueprint Service is a powerful tool for provisioning Azure resources, including Virtual Machines, by defining standardized and reusable templates. Azure Blueprints are a set of definitions that can be used to manage Azure resources in a consistent and scalable manner. With the introduction of enhanced cloud-native provisioning features in newer ServiceNow releases, Azure Blueprint Service is supported for deploying Azure VMs, making it one of the correct choices.
D. Azure ARM Templates: Azure ARM (Azure Resource Manager) Templates are JSON-based templates used to define and deploy Azure resources. These templates allow users to define infrastructure and configuration as code, making it a key feature in cloud-native provisioning. The latest release of ServiceNow Cloud Provisioning and Governance supports Azure ARM Templates for deploying Azure VMs, providing users with a highly flexible and scalable method of provisioning Azure resources. This makes D. Azure ARM Templates the second correct choice.
Now, let’s review the other options:
A. Jenkins Workflow: Jenkins is a popular open-source automation tool, typically used for continuous integration and deployment (CI/CD) workflows. While Jenkins can be used in many automation scenarios, it is not the primary method for provisioning Azure resources in ServiceNow CPG. Jenkins Workflow is not one of the primary provisioning methods supported for deploying Azure VMs in this context.
C. Puppet Manifests: Puppet is a configuration management tool that automates the deployment and management of infrastructure. While Puppet can manage configurations of deployed systems, it is not the primary provisioning method for deploying Azure VMs in ServiceNow CPG. Puppet is more focused on configuration management than cloud resource provisioning.
E. Upgrades are not supported from New York: This option is incorrect, as ServiceNow does support upgrades from earlier releases like New York to the latest release. The upgrade includes enhancements and additional features, such as support for new provisioning methods.
F. Terraform Configuration Files: Terraform is another popular tool for provisioning infrastructure using configuration files (HCL). However, the focus of this question is on the Azure provisioning methods that are supported out of the box in ServiceNow Cloud Provisioning and Governance. Terraform Configuration Files may be supported for other cloud platforms but are not the primary provisioning method for Azure VMs in ServiceNow CPG.
In conclusion, the two provisioning methods that will be supported for deploying Azure Virtual Machines after upgrading to the latest release of ServiceNow Cloud Provisioning and Governance are B. Azure Blueprint Service and D. Azure ARM Templates. These methods align with the enhanced cloud-native provisioning features introduced in the latest ServiceNow release.
Question 8:
You are working on a Cloud API (CAPI) Operation in ServiceNow Cloud Provisioning and Governance and need to determine which input parameters are required for each operation.
What is the most effective method to identify the necessary parameters for a CAPI operation in ServiceNow CPG?
A. Refer to the Cloud Provider’s documentation and perform tests
B. Review the parameters of an existing CAPI Operation
C. Use ECMA script documentation
D. Refer to ServiceNow product documentation
Answer: B
Explanation:
When working with Cloud API (CAPI) operations in ServiceNow Cloud Provisioning and Governance (CPG), understanding the required input parameters for each operation is critical for ensuring the operation runs as expected. To determine these necessary parameters, the most effective method is to review the parameters of an existing CAPI Operation. This approach helps you directly observe the structure and requirements for similar operations and can provide clarity on which parameters are essential for your use case.
ServiceNow CPG offers predefined CAPI Operations that include a range of standard parameters. By reviewing these existing operations, you can quickly identify which parameters are used, their data types, and any constraints. This is the most efficient method because it directly aligns with the platform's configuration and ensures you're working within the context of ServiceNow's Cloud API (CAPI) framework. If the operation you're working on is similar to others, reviewing their parameters will give you a solid foundation.
Let’s break down why the other options are less effective:
A. Refer to the Cloud Provider’s documentation and perform tests: While reviewing the Cloud Provider’s documentation is useful for understanding how the cloud platform (like AWS, Azure, or Google Cloud) works, it may not directly provide you with the specific parameter structure required for ServiceNow's Cloud API operations. Performing tests is important but might not be the most time-efficient or reliable method for identifying the exact parameters needed for CAPI operations within ServiceNow.
C. Use ECMA script documentation: ECMA Script documentation refers to JavaScript standards and syntax, which are useful for scripting within ServiceNow but are not directly related to determining the required input parameters for a Cloud API operation. The parameters you're looking for are related to cloud resource provisioning rather than scripting logic, so ECMA script documentation is not the right reference for this purpose.
D. Refer to ServiceNow product documentation: While ServiceNow product documentation is invaluable for understanding the broader capabilities and features of the platform, it may not always contain specific, operation-level details like the exact parameters required for a CAPI operation. The product documentation may offer guidance, but reviewing existing CAPI operations within ServiceNow is more targeted for identifying those parameters.
In conclusion, the best approach to identifying the necessary parameters for a Cloud API operation in ServiceNow CPG is to B. Review the parameters of an existing CAPI Operation. This allows you to work directly within the ServiceNow platform, leveraging predefined configurations and parameters from similar operations, making the process more efficient and accurate.
Question 9:
You are developing a custom Cloud API (CAPI) within ServiceNow Cloud Provisioning and Governance to either extend or replace the out-of-the-box (OOB) CAPI APIs. To ensure your custom API does not interfere with OOB APIs, you need to assign a version number that distinguishes your custom API from the OOB version.
Which version number should you use to avoid conflicts with existing or future out-of-the-box CAPI APIs?
A. 2.0
B. 1.5
C. 0.1
D. 1.1
Answer: C
Explanation:
When creating a custom Cloud API (CAPI) in ServiceNow Cloud Provisioning and Governance (CPG), it is crucial to ensure that your custom API does not conflict with the out-of-the-box (OOB) APIs provided by ServiceNow. This is typically managed by assigning a unique version number to the custom API, ensuring that it is easily distinguishable from the OOB API versions.
To avoid conflicts with existing or future OOB CAPI APIs, it is standard practice to use version numbers that are distinctly separate from the OOB APIs. The version number 0.1 is commonly used for custom APIs or early-stage development versions. The 0.x versioning indicates that the API is custom or in the development phase and not part of the official, stable OOB versions.
Here’s why C. 0.1 is the correct choice:
C. 0.1: This version number is appropriate for custom or non-production APIs. Using version 0.x is often reserved for custom implementations, as it clearly differentiates them from the 1.x and higher versions of OOB APIs. The 0.1 version is a clear signal that this is a custom API, minimizing the risk of version conflicts with existing or future OOB APIs, which will generally follow a 1.x versioning scheme.
Now, let’s look at why the other options are less ideal:
A. 2.0: Version 2.0 is typically associated with a major release of an API. This version number would suggest that the custom API is a significant upgrade or an official release, potentially conflicting with an OOB version of the same or later major version number (e.g., if ServiceNow releases a future OOB version as 2.0). Therefore, using 2.0 could create confusion or overlap with the OOB API versioning scheme.
B. 1.5: Using 1.5 is problematic because it is too close to the 1.x versioning commonly used by OOB APIs. By using 1.5, there is a risk that ServiceNow might release an OOB API version 1.5 in the future, which could create version conflicts between the custom and OOB versions.
D. 1.1: Similar to 1.5, using 1.1 suggests a minor version of a major release (i.e., an official release of the API), which is likely to conflict with the OOB versioning. Since OOB APIs will generally start with 1.x (for stable, released versions), using 1.1 for a custom API could cause confusion and potentially lead to version conflicts.
In conclusion, C. 0.1 is the most appropriate version number to use when developing a custom CAPI in ServiceNow Cloud Provisioning and Governance. It avoids any conflict with OOB APIs by clearly signaling that the API is a custom, developmental version, thus ensuring no overlap with the official OOB versioning system.
Question 10:
You are configuring a Cloud API (CAPI) Operation within ServiceNow Cloud Provisioning and Governance to interact with an external cloud service (e.g., AWS, Azure, GCP) via a REST API call. You need to execute custom logic that processes the request, handles the API call, and processes the response.
Which type of script component is required to handle a REST API call as part of a CAPI Operation?
A. Validation Script Include
B. Extension Script Include
C. MID Server Script Include
D. Script Include
Answer: D
Explanation:
In ServiceNow Cloud Provisioning and Governance (CPG), when configuring a Cloud API (CAPI) Operation to interact with external cloud services via a REST API call, you will need to use a Script Include to handle custom logic for the request and response.
A Script Include is a reusable server-side script that can be invoked from other scripts or components. In this scenario, the Script Include would contain the necessary logic to:
Process the REST API request.
Handle the communication with the external cloud service (e.g., AWS, Azure, GCP).
Process the response from the API call.
The Script Include is versatile and can be used to write custom code to make HTTP requests (such as a REST API call), handle authentication, process data, and return the results in a suitable format.
Let's review the other options to understand why they are not correct:
A. Validation Script Include: A Validation Script Include is typically used for validating data or parameters within ServiceNow, ensuring that the inputs meet specific criteria before proceeding. It is not intended for making external REST API calls or handling logic for interacting with external services.
B. Extension Script Include: An Extension Script Include is used to extend or modify the functionality of existing ServiceNow modules, often to provide additional functionality. While this can be used in some advanced scenarios, it's generally not the first choice for making REST API calls as part of a Cloud API (CAPI) Operation.
C. MID Server Script Include: A MID Server Script Include is specifically designed for use in scenarios where the MID Server is involved in interacting with on-premises or external resources, often when the communication is between ServiceNow and on-premises systems. While useful for on-premises integrations, the MID Server Script Include is not the primary component used for handling REST API calls to cloud services.
In conclusion, the Script Include (option D) is the correct choice for handling a REST API call as part of a Cloud API Operation in ServiceNow Cloud Provisioning and Governance. It is the standard method for executing custom server-side logic, including processing API requests and handling responses from external services like AWS, Azure, or GCP.
