ServiceNow CIS-SAM Exam Dumps & Practice Test Questions
Question No 1:
Which methods can be used to import software asset data into ServiceNow?
A. Clone, Background Script, Discovery
B. Import Data, Plugin, Clone
C. Discovery, Import Data, Manual
D. Plugin, Background Script, Manual
Correct Answer: C
Explanation:
In ServiceNow, importing software asset data is a crucial process for managing IT assets efficiently, especially for software. The platform provides several methods to achieve this, including Discovery, Import Data, and Manual Entry. Each of these methods is suited to different scenarios depending on the size of the data set and the level of automation required.
Discovery is an automated feature in ServiceNow that scans an organization's network to identify software installations, their versions, and licenses. It uses probes and sensors to detect this information across computers and servers. This method is efficient because it reduces the need for manual input and ensures that software asset data is always up-to-date. The automated nature of Discovery makes it especially useful for large organizations with many assets, as it eliminates the possibility of human error.
Import Data allows administrators to bring in data from external sources such as spreadsheets, databases, or other systems into ServiceNow. This is particularly useful for organizations with a large amount of software asset data that cannot be discovered automatically through the network. The Import Data feature supports mapping data from the external source to appropriate tables in ServiceNow, ensuring that the imported information is consistent with the platform's structure. This method is highly flexible and can handle complex data integration scenarios.
Manual Entry is the most straightforward method, where users directly input software asset data into the platform. While this method is labor-intensive, it is sometimes necessary when data cannot be discovered automatically or imported from external sources. For instance, when new software assets need to be recorded immediately or when external data is unavailable, manual entry becomes the go-to option. Though it may not be as efficient as the other two methods, it still plays a critical role in ensuring data completeness.
The other options are incorrect because they involve methods that are not directly used for importing software asset data. For example, Clone and Background Script are tools that can be useful for other purposes in ServiceNow but not for importing software asset data, making C the correct choice.
Question No 2:
Which table stores the content library data pulled from the content service in ServiceNow?
A. samp_sw_package
B. cmdb_sw_product_model
C. sam_content_library
D. cmdb_ci_spkg
Correct Answer: C
Explanation:
In ServiceNow, the sam_content_library table is specifically designed to store the content library data that is pulled from the content service. This data is essential for managing software assets, as it includes information about software packages, licenses, and other related content that help organizations track and manage software usage and compliance.
The sam_content_library table is part of the Software Asset Management (SAM) module in ServiceNow. SAM focuses on optimizing software usage, ensuring compliance with licensing agreements, and managing costs related to software. The content library data stored in this table allows organizations to efficiently monitor and control the software assets they own, including their associated licenses and usage patterns.
This table plays an integral role in managing the software lifecycle, from installation to retirement, and helps organizations ensure they are compliant with software licenses. The content library includes records for various software packages, product models, and other relevant software data that is critical for effective asset management. By organizing this information in a central location, ServiceNow makes it easier for organizations to track their software assets, assess usage, and stay compliant with licensing agreements.
The other options are incorrect because:
A. samp_sw_package: This table is related to software packages but does not store content library data. It contains information such as software installation details and configuration data.
B. cmdb_sw_product_model: This table is part of the Configuration Management Database (CMDB) and holds metadata about software product models, not the content library data.
D. cmdb_ci_spkg: This table stores configuration items related to software packages in the CMDB, but it does not store content library data pulled from the content service.
Thus, C is the correct answer because the sam_content_library table is specifically designed to store the data related to software content imported from the content service in ServiceNow, making it a key component of effective software asset management.
Question No 3:
When performing an entitlement import, which of the following elements is used to match data in the Content Service Library and automatically create a software model?
A. Purchase Order (PO)
B. Software Model
C. Publisher Part Number (PPN)
D. Asset Tag
Correct Answer: C
Explanation:
In entitlement management systems, the primary goal is to ensure that software assets are accurately mapped to the correct models and entitlements within the system. This process is essential to properly managing software licenses, purchases, and related entitlements. During an entitlement import, data from external systems is compared with the records in the Content Service Library to establish these mappings.
The Publisher Part Number (PPN) is a unique identifier assigned by the software publisher to each specific product or version of the software. It plays a critical role in the entitlement import process. When entitlement data (e.g., purchase orders or license information) is imported, the system uses the PPN to search for and match the corresponding software model in the Content Service Library. This ensures that the software is correctly identified and linked to its respective model, enabling accurate entitlement tracking.
Here’s why the other options are incorrect:
A. Purchase Order (PO): A purchase order is a document used to record the transaction of acquiring goods or services, including software. While the PO contains important transactional information, it is not used to directly map to a software model during the import process. The PO serves as a record of the transaction rather than an identifier for the software model itself.
B. Software Model: The software model is the end result of the matching process, not the mechanism used to perform the match. The model is created based on the matching criteria (such as the PPN), so it’s not used directly to match data in the Content Service Library.
D. Asset Tag: An asset tag is typically used for tracking physical or digital hardware assets, not for software models. While asset tags can be important in managing hardware, they are not involved in the process of matching or creating software models during the entitlement import process.
In conclusion, the Publisher Part Number (PPN) is the critical element in the entitlement import process, used to match the imported data with the correct software model in the Content Service Library.
Question No 4:
During the software normalization process, which mechanisms are used to normalize software discovery models? (Choose two.)
A. Fix Script
B. Scheduled Job
C. Business Rule
D. Integration
E. Workflow
Correct Answer: C, D
Explanation:
The software normalization process involves aligning and standardizing discovered software data across various systems within an organization. This is crucial for maintaining consistent and accurate software records, which aids in efficient management and reporting. Several mechanisms play a role in ensuring that the software discovery models are normalized.
Business Rule: Business rules are essential in defining how discovered software should be classified and recognized. These rules establish the criteria for normalizing and grouping software data, ensuring that similar software versions or different software variants are standardized under a common model. Business rules help enforce consistency by defining when and how software should be mapped to specific models, reducing discrepancies and improving data integrity.
Integration: Integration refers to the process of connecting different systems and data sources to facilitate the normalization of software discovery models. Through integration, data from multiple systems, such as configuration management databases (CMDBs) or asset management tools, can be synchronized and harmonized. This enables the discovery models to reflect a consistent set of information across all systems, reducing silos and discrepancies.
Here’s why the other options are not correct:
A. Fix Script: A fix script is a type of automation tool that can be used to correct or fix specific issues in data or systems. While it might be useful for resolving certain problems, it is not a primary mechanism for normalizing software discovery models.
B. Scheduled Job: A scheduled job is typically used to automate specific tasks at predetermined intervals, such as data imports or system maintenance. While it can play a role in ensuring the normalization process runs at regular intervals, it is not directly involved in the normalization itself.
E. Workflow: A workflow is a sequence of tasks or processes designed to achieve a particular goal. While workflows are useful for managing processes, they are not specifically focused on the normalization of software discovery models. They may be part of the broader software management system, but they are not central to normalization.
In conclusion, Business Rules and Integration are the core mechanisms for normalizing software discovery models, ensuring consistency and standardization across systems. These mechanisms help create a unified, reliable set of software data that can be managed and reported on effectively.
Question No 5:
What does the term "Partially Normalized" refer in the context of software discovery models?
A. A discovery model that has been normalized using the publisher field alone.
B. A discovery model that has not yet completed the normalization process.
C. A discovery model that has been normalized using only the publisher and product fields.
D. A discovery model that has been normalized using the publisher, product, and version fields.
Correct Answer:
B. A discovery model that has not yet completed the normalization process.
Explanation:
In the context of software discovery models, normalization refers to the process of standardizing and structuring data so that it becomes consistent, clear, and useful across systems and databases. This is particularly important in IT environments where different software assets need to be cataloged in a way that is uniform and easily accessible.
The term "Partially Normalized" refers to a model that has started the normalization process but is not fully completed. It means that some steps of the normalization (such as structuring specific fields) may have been done, but others are still incomplete. For example, data may be standardized in some fields (like the publisher or product) but might still need additional work, such as including versioning data or addressing inconsistencies.
Here’s why the other options are incorrect:
Option A: A discovery model that has been normalized using the publisher field alone
This doesn’t represent a "partially normalized" model but rather a very specific type of normalization, which focuses on just one field (publisher). It doesn’t indicate that the normalization process is incomplete.Option C: A discovery model that has been normalized using only the publisher and product fields
This suggests that some normalization was done but still focuses on specific fields. While this might be part of a partial process, it’s not the full definition of "partially normalized." It’s more of a specific case of normalization rather than a general term.Option D: A discovery model that has been normalized using the publisher, product, and version fields
This is a complete normalization, as it includes several fields. It’s not a "partially normalized" model, but one that has undergone a comprehensive normalization process.
Thus, B is the correct answer, as it best describes a "partially normalized" discovery model—one that has not yet completed the entire normalization process and is still in progress.
Question No 6:
What is the name of the scheduled job that runs daily to perform software normalization in a system management environment?
A. Create a Software Normalization
B. Software Installation Normalization
C. Software Model Cleanup
D. Discovery Model Normalization
Correct Answer: B. Software Installation Normalization
Explanation:
In large-scale system management environments, where multiple software installations are tracked and monitored, software normalization is crucial to ensure consistency, eliminate duplicates, and correct version discrepancies. This process is vital in maintaining an accurate and standardized software inventory.
The "Software Installation Normalization" job is a scheduled task that runs daily to ensure that the software installation data is consistent. This job works to normalize all software-related data in the system, making it easier to track, analyze, and manage.
Here's why the other options are incorrect:
Option A: Create a Software Normalization
This implies an action of initiating the normalization process but does not describe a scheduled, recurring job. It's not the correct term for the task that runs daily.Option B: Software Installation Normalization
This is the correct name of the scheduled job. It focuses specifically on normalizing software installations, ensuring that software data is up-to-date and consistent, helping to avoid errors such as duplicate entries or mismatched versions.Option C: Software Model Cleanup
While this job could involve cleaning up outdated or irrelevant software models, it doesn't focus on the daily normalization process for software installations. This is a separate task that doesn't normalize the software data.Option D: Discovery Model Normalization
Discovery Model Normalization deals with the normalization of data related to discovery (such as hardware or network information) rather than software installations. It’s not the correct term for the software installation normalization job.
Thus, B is the correct answer, as it directly corresponds to the scheduled job responsible for normalizing software installation data every day.
Question No 7:
In the context of Software Asset Management (SAM), which term best defines the process of assigning software use rights to a specific device or user?
A. One or more use rights assigned to a specific device or user.
B. Something acquired with use rights.
C. The process of normalizing a discovered software installation to standardized values.
D. Finding and recognizing software or a software feature on a device.
Correct Answer: A
Explanation:
In Software Asset Management (SAM), managing software licenses and ensuring compliance with licensing agreements is critical. The term Software Allocation refers to the act of assigning software use rights to specific devices or users within an organization. This ensures that software is being used within the bounds of the licensing agreement and prevents overuse or misuse. Proper allocation helps the organization optimize its software usage, manage resources efficiently, and stay compliant with software vendors' terms.
Option A: This is the correct definition of Software Allocation. It involves the assignment of software use rights to particular devices or users. This allocation ensures that the correct number of licenses is used and that the software is applied according to the terms of the license agreement.
Option B: This option speaks to acquiring software along with the use rights but does not address the process of assigning those rights, which is the focus of software allocation. Therefore, it does not provide a complete or accurate description of software allocation.
Option C: Normalizing a discovered software installation involves standardizing or categorizing the software found on devices within the system. While normalization is an important step in SAM, it is a separate process that prepares the software for tracking and reporting, not allocating rights.
Option D: The discovery and recognition of software or software features on devices refers to software discovery, which is the first step in understanding what software is being used within an organization. It helps identify what software exists but does not directly involve the assignment of use rights, which is the essence of software allocation.
To summarize, Software Allocation involves assigning use rights to specific devices or users, ensuring that software is utilized according to license agreements. It plays a key role in compliance and license management, making it essential for any organization dealing with software procurement and management.
Question No 8:
How often is the scheduled normalization process executed for discovery models, particularly when there is a need for standardization of the discovered data?
A. Nightly
B. Weekly
C. Every time Discovery is run
D. Nightly for new discovery models and weekly for all discovery models that do not have a status of normalized or manually normalized
E. Immediately for new discovery models and nightly for all discovery models that do not have a status of normalized or manually normalized
Correct Answer: D
Explanation:
Normalization is an important process in discovery models, especially when handling large data sets or a variety of sources. The purpose of normalization is to ensure that all discovered data conforms to a standardized format, which makes it easier to analyze and manage. By executing the normalization process at specific intervals, systems can maintain consistent data quality without overloading the infrastructure with constant updates.
Option D correctly describes the most common scheduling pattern for normalization jobs in a discovery model system:
Nightly for new discovery models: This ensures that any newly discovered data is processed and standardized regularly, without waiting for the next cycle for older data. This is essential for keeping the new data ready for further processing or analysis.
Weekly for discovery models that have not been normalized: Older models or data sets that may have been overlooked in previous normalization cycles are handled in a more batch-like process. These models are normalized on a weekly basis, ensuring they are processed without the system being overloaded by too frequent normalization tasks.
This combination of nightly processing for new data and weekly processing for older models strikes an effective balance between timely processing and system efficiency. It avoids overwhelming the system with normalization tasks while ensuring that all data is consistently standardized over time.
Option A: Running the normalization job nightly for all discovery models may seem logical, but it doesn't account for the difference in priority between new and older models. New data may need immediate processing, while older data can be handled on a less frequent basis.
Option B: Weekly normalization for all models is too infrequent for new models, which may need more frequent processing to maintain the integrity and timeliness of the data.
Option C: Normalizing data every time discovery is run would unnecessarily overload the system, especially if the discovery process is frequent. This would lead to inefficiencies, as normalization doesn't need to be triggered every time discovery is run.
Option E: Normalizing immediately for new discovery models may be beneficial in some cases, but in most systems, batch processing is used for data management tasks like normalization. Thus, a nightly schedule for new models is more typical and efficient.
To sum up, Option D provides the optimal schedule for normalizing discovery models, ensuring that new models are processed in a timely manner while older models are handled on a manageable weekly cycle. This approach maximizes efficiency and maintains data quality.
Question No 9:
What is the primary purpose of using Software Asset Management (SAM) in ServiceNow?
A) To optimize the purchase and allocation of hardware assets.
B) To track and manage software licenses and ensure compliance.
C) To manage security vulnerabilities in software applications.
D) To automate the integration of third-party software into the IT environment.
Correct Answer: B
Explanation:
Software Asset Management (SAM) in ServiceNow is primarily focused on tracking and managing software licenses to ensure compliance with licensing agreements. SAM helps organizations efficiently monitor their software usage, track licenses, and avoid over- or under-licensing. It is crucial for managing the full lifecycle of software, from procurement to decommissioning, ensuring that software assets are being used optimally and within the bounds of legal and contractual obligations. SAM also aids in reducing software costs and mitigating the risk of compliance violations.
Question No 10:
Which of the following best describes the role of the Software License Compliance Dashboard in ServiceNow?
A) It identifies software installations that require security updates.
B) It provides insights into the number of active users across different departments.
C) It offers a visual overview of software license usage and compliance status.
D) It enables the allocation of software licenses to various hardware assets.
Correct Answer: C
Explanation:
The Software License Compliance Dashboard in ServiceNow is a visual reporting tool designed to give users a comprehensive view of software license usage and its compliance status. This dashboard allows organizations to track the number of licenses being used, compare this against the number of licenses available, and identify potential compliance risks. By providing real-time data, the dashboard supports informed decision-making and helps ensure that organizations remain compliant with software licensing agreements, reducing the risk of costly penalties or audits.
