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| Section | Weight | Objectives |
|---|---|---|
| User-Driven Requests | 10% | - Request form customization - QuickLinks and population configuration - Approval processes and delegation - Access request types and workflow |
| Applications | 15% | - Application and connector configuration - Handling uncorrelated accounts - Aggregation and correlation processes - Schema setup and management |
| Foundational Concepts | 20% | - Identity security core principles - Object model and key objects - IdentityIQ terminology and components - Rules, tasks, workflows, and configuration basics |
| Provisioning | 5% | - Synchronization and account management - Lifecycle events and automation - Error handling and troubleshooting - Provisioning policies and actions |
| Governance | 15% | - Separation of duties and compliance controls - Certification campaigns and configuration - Audit and reporting basics - Policy violations and remediation |
| Identity Modeling | 20% | - Identity refresh and lifecycle states - Account correlation and identity formation - Attribute synchronization and management - IdentityCube and identity attributes |
| Access Modeling | 15% | - Access policies and governance rules - Birthright roles and access assignment rules - Roles, entitlements, and access catalog - Role and entitlement classification |
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NEW QUESTION # 45
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: B
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 # 46
Is this statement true for the identity refresh task?
It can update an identity's attributes on their Identity Cube.
Answer: B
Explanation:
The statement is true. In SailPoint IdentityIQ, the Identity Refresh task is used to recalculate and update identity-level data stored on IdentityCubes. One of its core functions is refreshing identity attributes, which are the normalized identity fields IdentityIQ uses for governance, correlation, lifecycle processing, certifications, policy evaluation, role assignment, and reporting. These attributes may originate from authoritative sources, account links, rules, mappings, or configured identity attribute definitions.
When the Identity Refresh task runs with the appropriate options selected, IdentityIQ evaluates the configured identity attribute mappings and updates the IdentityCube accordingly. This ensures that changes from authoritative data or aggregated account information are reflected at the identity level. For example, department, manager, location, job title, status, or lifecycle state may be recalculated and stored on the IdentityCube for downstream governance processes.
This task is different from aggregation. Aggregation collects account and entitlement data from applications, while Identity Refresh updates IdentityIQ's internal identity model using the data already stored in the repository.
Reference topics: Identity Modeling - IdentityCubes, identity attributes, manager correlation, and common Identity Refresh task options.
NEW QUESTION # 47
Is this statement about uncorrelated accounts true?
If an application's correlation logic has changed, the aggregation task can change account correlations to match the new logic.
Answer: B
Explanation:
The statement is true. In SailPoint IdentityIQ, account correlation is the process used to associate an application account, represented as a Link, with the appropriate IdentityCube. Correlation logic is configured on the application and may use account attributes, identity attributes, or correlation rules to determine ownership. When that logic is changed, a subsequent account aggregation can evaluate account data against the updated correlation configuration and adjust account-to-identity associations where the aggregation process is configured to perform correlation.
This is important when accounts were previously uncorrelated, incorrectly correlated, or correlated under outdated matching criteria. For example, if an application originally correlated accounts by user name but is later changed to correlate by employee ID, aggregation can apply the new logic so that accounts align with the correct identities. Manual correlation is therefore not the only remediation path; proper correlation configuration followed by aggregation is a standard way to resolve or correct account ownership.
The behavior depends on the aggregation and correlation configuration, but the principle is accurate: aggregation can apply changed correlation logic to account correlations. Reference topics: Applications, correlation options, account aggregation, uncorrelated account resolution, Link-to-IdentityCube association, and Identity Modeling.
NEW QUESTION # 48
Is this an accurate statement about the selection of a connector as part of an application definition?
Some connectors contain a predefined account schema.
Answer: B
Explanation:
Yes. In SailPoint IdentityIQ, some application connectors include predefined schema information because the structure of accounts and groups on those target systems is well known to the connector. When an application is created and a specific connector type is selected, IdentityIQ may automatically populate schema elements such as the account schema, native identity attribute, display attribute, common account attributes, and sometimes group or entitlement schema definitions. This is common for standard connectors where the managed system has a predictable object model.
However, predefined does not mean final or immutable. The application administrator must still review and adjust the schema to ensure it accurately represents the implementation, including which attributes are aggregated, which attributes are searchable, which attributes are entitlements, and which attributes are used for identity correlation. Other connector types, such as generic JDBC, delimited file, or custom connectors, may require more manual schema definition.
This statement is therefore accurate because connector selection can provide default schema structure. Reference topics: Applications, connector selection, account schema, group schema, schema attributes, aggregation configuration, and application definition.
NEW QUESTION # 49
Is this action an example of provisioning?
Defining access conditions that are in violation of the business policies
Answer: B
Explanation:
No. Defining access conditions that violate business policies is not provisioning. In SailPoint IdentityIQ, this activity belongs to governance and policy configuration. Policies define conditions that IdentityIQ should detect as violations, such as separation-of-duty conflicts, prohibited combinations of access, excessive privilege, or access that conflicts with organizational rules. These policies are evaluated against identities, roles, accounts, and entitlements to identify existing or potential violations.
Provisioning is the execution or fulfillment of access changes. Examples of provisioning include creating an account, modifying account attributes, adding or removing entitlements, disabling an account, deleting an account, or generating manual fulfillment work items. A policy violation may influence provisioning by blocking a request, warning the requester, requiring approval, or triggering remediation, but defining the violation condition itself is not a provisioning action.
Therefore, the described action is governance policy definition, not provisioning. Reference topics:
Governance, policy configuration, policy detection, preventive policy checking, Provisioning, provisioning plans, remediation, and access-change fulfillment.
NEW QUESTION # 50
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