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| Certification Vendor: | SailPoint |
|---|---|
| Exam Name: | SailPoint Certified IdentityIQ Associate Exam |
| Exam Number: | IdentityIQ-Associate |
| Available Languages: | English |
| Exam Format: | Multiple Choice, Single Choice |
| Certificate Validity Period: | 2 years |
| Real Exam Qty: | 60 |
| Exam Duration: | 90 minutes |
| Exam Price: | $150 USD |
| Related Certifications: | SailPoint Certified IdentityIQ Engineer SailPoint Certified IdentityIQ Advanced Administrator |
| Passing Score: | 70 |
| Sample Questions: | SailPoint IdentityIQ-Associate Sample Questions |
| Exam Way: | Online proctored exam through SailPoint certification portal |
| Pre Condition: | No formal prerequisites; basic knowledge of identity management concepts recommended |
| Official Syllabus URL: | https://developer.sailpoint.com/idn/certifications |
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NEW QUESTION # 61
Is this statement accurate about the BeanShell rules used in the aggregation process?
Rule processing can be disabled in the task definition.
Answer: A
Explanation:
Yes. In SailPoint IdentityIQ, BeanShell rules used during aggregation are optional processing extensions, and task configuration can control whether rule processing is applied for a particular aggregation run. Aggregation itself is performed through the application definition, connector, schema, and aggregation task. Rules may be added to customize behavior, such as transforming incoming account data, applying custom correlation logic, handling identity creation, or modifying account information before it is stored.
Because rules can significantly affect aggregation behavior, IdentityIQ provides task-level controls that allow administrators to disable rule processing when appropriate. This can be useful for testing connector behavior, isolating troubleshooting scenarios, improving performance during certain runs, or validating source data without custom transformation logic. When rule processing is disabled, aggregation relies on standard connector and configuration behavior rather than custom BeanShell execution.
Therefore, the statement is accurate. Rule execution is not mandatory for aggregation and can be controlled from the task definition. Reference topics: Applications, aggregation tasks, BeanShell rules, connector configuration, account schema, correlation rules, creation rules, and aggregation task options.
NEW QUESTION # 62
Is this statement true for IdentityIQ application definitions?
Applications in IdentityIQ are named with the connector that is selected.
Answer: A
Explanation:
No. In SailPoint IdentityIQ, the application name is a configurable label assigned to the application object and does not have to match the connector selected. The application definition represents an external system or source, while the connector defines the technical integration method used to communicate with that system.
These are related configuration elements, but they are not the same field and one does not automatically name the other.
For example, an application could be named "Corporate Directory," "North America Active Directory," or
"HR Source," while using an LDAP, Active Directory, JDBC, Delimited File, Web Services, or another connector type. The connector selection determines available configuration settings, supported schema behavior, aggregation options, and provisioning capabilities. The application name is used for identification within IdentityIQ, reporting, certifications, requests, policies, and administrative configuration.
Therefore, the statement is incorrect because IdentityIQ applications are not named by the selected connector.
They are named by the administrator or implementer according to the business or system context. Reference topics: Applications, application definition, connector selection, connector-dependent settings, schemas, aggregation, and provisioning support.
NEW QUESTION # 63
Is this statement true about group factories and/or populations?
Groups and populations are used to target operations to only a specific set of identities.
Answer: A
Explanation:
The statement is true. In SailPoint IdentityIQ, groups and populations are identity-segmentation mechanisms used to define sets of identities that share specific characteristics. A population is typically a saved collection of identities based on search criteria or defined membership logic. A group factory can dynamically generate identity groups based on identity attributes, such as department, location, cost center, job title, or business unit.
These constructs are useful because many IdentityIQ operations should not apply to the entire identity population. They allow administrators to scope or target actions to the relevant identities only. For example, populations and groups can support targeted reporting, focused analysis, certification scoping, and other governance activities where only a defined subset of identities should be included. This improves accuracy, reduces review noise, and aligns governance activity with business structure.
They should not be confused with ownership objects such as workgroups. Their primary purpose is identity grouping and operational targeting, not shared ownership accountability.
Reference topics: Identity Modeling - groups and populations; Governance - certification targeting and reporting scope; Foundational Concepts - business modeling and identity segmentation.
NEW QUESTION # 64
Is this a purpose of identity governance and administration (IGA)?
Detecting and addressing inappropriate access
Answer: A
Explanation:
Detecting and addressing inappropriate access is a core purpose of Identity Governance and Administration in SailPoint IdentityIQ. IdentityIQ is designed to provide visibility into who has access, what access they have, how that access was obtained, whether it is appropriate, and what corrective action should occur when access violates business or security policy. Inappropriate access may be identified through access certifications, policy violations, role analysis, entitlement review, account aggregation, and identity correlation.
IdentityIQ supports this purpose by building IdentityCubes that consolidate identity, account, entitlement, role, and manager data from connected applications. Once access is visible, governance controls such as certifications allow managers, application owners, or entitlement owners to approve, revoke, or delegate access decisions. Policies can also detect toxic combinations, prohibited access, or access inconsistent with business rules. Remediation can then be routed through provisioning, work items, or manual fulfillment processes.
Therefore, the statement aligns directly with IGA and IdentityIQ's identity security model. Reference topic: Foundational Concepts - purpose of identity security; also related to Governance - certifications, policy detection, and remediation.
NEW QUESTION # 65
Is this an example of a policy that can be defined in IdentityIQ?
An administrator policy to identify users who are taking risky actions within IdentityIQ
Answer: A
Explanation:
This is not a standard example of a policy that can be defined in IdentityIQ. IdentityIQ policies are governance controls used to detect inappropriate access, risky access combinations, account conditions, identity conditions, or activity-related violations based on configured policy logic. Common policy examples include separation of duties policies, account policies, identity policies, risk policies, and activity policies.
These policies evaluate identities, accounts, roles, entitlements, attributes, and access relationships to determine whether a violation exists.
The wording "administrator policy" is not a standard IdentityIQ policy category. IdentityIQ can audit administrative activity and can secure administrative functions through capabilities, scopes, workgroups, permissions, and object-level controls, but that is different from defining an "administrator policy" as a governance policy type. Risky actions performed within IdentityIQ itself are generally handled through audit events, administrative security configuration, logging, and operational monitoring rather than a standard policy definition named administrator policy.
Therefore, this statement does not describe a valid common IdentityIQ policy example. Reference topics:
Governance - examples of common policies, policy detection, policy violations; Foundational Concepts - common objects and components; Identity Modeling - IdentityCube attributes and access context.
NEW QUESTION # 66
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