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| Section | Objectives |
|---|---|
| Topic 1: Archer Platform Architecture and Advanced Deployment | - Advanced Deployment and Configuration Considerations - Understand the Archer Platform Architecture and Components - Review System Requirements and Installation Best Practices |
| Topic 2: Troubleshooting, Performance Optimization, and Best Practices | - Troubleshoot Common and Advanced Archer Issues - Analyze System Logs and Monitor Health for Issue Resolution - Apply Archer Best Practices for System Design, Maintenance, and Scalability - Implement Performance Tuning Strategies for Archer Applications and Database |
| Topic 3: Complex Application Configuration and Design | - Design and Implement Multi-Stage Workflows and Advanced Data-Driven Events - Configure Sophisticated Layouts, Views, Dashboards, and Reports - Develop Advanced Calculated Fields and Dynamic Notifications - Master Advanced Functionality of Questionnaires and Assessments - Manage Advanced Relationships and Data Modeling |
| Topic 4: Advanced System Administration and Security | - Implement Advanced Security Management (ACLs, Record Permissions, Security Parameters) - Configure Global and Application-Specific Advanced Settings - Manage Complex User and Group Structures, including Directory Integration (LDAP/AD) - Utilize Advanced Data Governance Features (e.g., Archiving, Data Retention, Global Fields) |
| Topic 5: Integration, Data Management, and Migration | - Configure and Troubleshoot Advanced Data Feeds (e.g., API integrations, custom data sources) - Implement Advanced Data Import/Export Strategies - Perform Solution Packaging, Migration, and Version Management - Understand and Leverage Archer API and Web Services for Custom Integrations |
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NEW QUESTION # 70
Which action is recommended before updating an Archer Advanced Workflow?
Answer: A
Explanation:
According to the Advanced Workflow Beyond the Basics curriculum, the safest administrative practice when modifying an active workflow is to briefly deactivate it. When you deactivate the workflow, you prevent new records from entering a potentially "in-flux" process while you are saving new versions.
Once the changes are finalized and the new version is saved, reactivating the workflow allows the system to initialize the new logic. It is important to note that reactivating the workflow does not automatically update existing records (as discussed in previous questions regarding Bulk Update Jobs), but it ensures that the transition between versions is "clean." Option D is often impossible in a production environment with thousands of active records. Option B is factually incorrect as records do not return to the Start node; they stay exactly where they were in their specific version. Deactivating ensures that the Advanced Workflow Service doesn't attempt to process a record against a design that is currently being overwritten or modified by the administrator.
NEW QUESTION # 71
Which users are capable of performing data imports?
Answer: C
Explanation:
In Archer, the ability to perform a data import is governed by Access Roles , not strictly by high-level system administrative accounts. Under the "Rights" tab of an Access Role configuration, there is a specific permission labeled "Data Import." According to the Archer Administration II curriculum, any user assigned to a role with this right enabled-and who also possesses "Create" or "Update" permissions for the target application-can utilize the Data Import tool.
While a System Administrator (Option A) inherently has these rights, the platform is designed for delegated administration. Therefore, a business user or a "Power User" can be granted the specific ability to import data without having full system-wide control. Options B and C are incorrect because "Report Administrators" focus on dashboard and report metadata, and while an administrator might create a custom group named
"Data Import," no such hard-coded group exists by default in the Archer out-of-the-box security model. The granularity of Archer's security ensures that data integrity is maintained by linking the import capability directly to the user's functional role and application-level permissions.
NEW QUESTION # 72
What is the main difference between an environment and an instance in Archer?
Answer: B
NEW QUESTION # 73
There are 100 records in a Data Feed target application and 20 entries in a Data Feed source file. Provided that the Delete radio button is selected on the Target Record Processing section of the Run Configuration tab, how many records will be in the target application after the Data Feed runs?
Answer: D
Explanation:
In the Data Feed Manager , the "Target Record Processing" setting on the Run Configuration tab determines how Archer handles records that are not present in the current source file. As taught in Archer Administration II , selecting the Delete radio button (often referred to as a "destructive feed" or "mirroring") instructs Archer to compare the source file to the target application.
If the feed finds records in the target application that do not match the keys provided in the source file, it will delete them. In this scenario, since there are only 20 entries in the source file, Archer will keep (or create) those 20 records and delete the remaining 80 records that were already in the system but were missing from the source. Consequently, the final count in the target application will be 20. This setting is typically used for synchronization tasks where Archer must exactly match an external "system of record." Administrators are cautioned when using this setting, as it can lead to massive data loss if the source file is accidentally truncated or filtered incorrectly.
NEW QUESTION # 74
The Open Data Protocol (OData) allows ...
Answer: C
Explanation:
The RESTful API in Archer utilizes the OData (Open Data Protocol) standard to provide powerful querying capabilities. According to the Archer Administration II integration documentation, OData allows developers to use specific URL parameters-such as $filter, $select, $top, and $orderby-to refine the data returned by the API.
Without OData, a REST call might return every field for every record in an application, leading to significant overhead and slow response times. By using OData, the client can "narrow down the responses" by requesting only specific fields (using $select) or only records that meet certain criteria (using $filter). This is fundamentally different from the SOAP API (Options B and D), which relies on structured XML search requests. OData is what makes the RESTful API efficient for mobile applications and external integrations that require specific, lightweight data payloads.
NEW QUESTION # 75
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