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Free PDF Quiz Appian - Accurate ACD301 - Reliable Appian Lead Developer Dumps Free

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Appian Lead Developer Sample Questions (Q34-Q39):

NEW QUESTION # 34
The business database for a large, complex Appian application is to undergo a migration between database technologies, as well as interface and process changes. The project manager asks you to recommend a test strategy. Given the changes, which two items should be included in the test strategy?

  • A. Tests for each of the interfaces and process changes
  • B. Tests that ensure users can still successfully log into the platform
  • C. Penetration testing of the Appian platform
  • D. Internationalization testing of the Appian platform
  • E. A regression test of all existing system functionality

Answer: A,E

Explanation:
Comprehensive and Detailed In-Depth Explanation:As an Appian Lead Developer, recommending a test strategy for a large, complex application undergoing a database migration (e.g., from Oracle to PostgreSQL) and interface/process changes requires focusing on ensuring system stability, functionality, and the specific updates. The strategy must address risks tied to the scope-database technology shift, interface modifications, and process updates-while aligning with Appian's testing best practices. Let's evaluate each option:
* A. Internationalization testing of the Appian platform:Internationalization testing verifies that the application supports multiple languages, locales, and formats (e.g., date formats). While valuable for global applications, the scenario doesn't indicate a change in localization requirements tied to the database migration, interfaces, or processes. Appian's platform handles internationalization natively (e.
g., via locale settings), and this isn't impacted by database technology or UI/process changes unless explicitly stated. This is out of scope for the given context and not a priority.
* B. A regression test of all existing system functionality:This is a critical inclusion. A database migration between technologies can affect data integrity, queries (e.g., a!queryEntity), and performance due to differences in SQL dialects, indexing, or drivers. Regression testing ensures that all existing functionality-records, reports, processes, and integrations-works as expected post-migration. Appian Lead Developer documentation mandates regression testing for significant infrastructure changes like this, as unmapped edge cases (e.g., datatype mismatches) could break the application. Given the "large, complex" nature, full-system validation is essential to catch unintended impacts.
* C. Penetration testing of the Appian platform:Penetration testing assesses security vulnerabilities (e.g., injection attacks). While security is important, the changes described-database migration, interface, and process updates-don't inherently alter Appian's security model (e.g., authentication, encryption), which is managed at the platform level. Appian's cloud or on-premise security isn't directly tied to database technology unless new vulnerabilities are introduced (not indicated here). This is a periodic concern, not specific to this migration, making it less relevant than functional validation.
* D. Tests for each of the interfaces and process changes:This is also essential. The project includes explicit "interface and process changes" alongside the migration. Interface updates (e.g., SAIL forms) might rely on new data structures or queries, while process changes (e.g., modified process models) could involve updated nodes or logic. Testing each change ensures these components function correctly with the new database and meet business requirements. Appian's testing guidelines emphasize targeted validation of modified components to confirm they integrate with the migrated data layer, making this a primary focus of the strategy.
* E. Tests that ensure users can still successfully log into the platform:Login testing verifies authentication (e.g., SSO, LDAP), typically managed by Appian's security layer, not the business database. A database migration affects application data, not user authentication, unless the database stores user credentials (uncommon in Appian, which uses separate identity management). While a quick sanity check, it's narrow and subsumed by broader regression testing (B), making it redundant as a standalone item.
Conclusion: The two key items are B (regression test of all existing system functionality) and D (tests for each of the interfaces and process changes). Regression testing (B) ensures the database migration doesn't disrupt the entire application, while targeted testing (D) validates the specific interface and process updates. Together, they cover the full scope-existing stability and new functionality-aligning with Appian's recommended approach for complex migrations and modifications.
References:
* Appian Documentation: "Testing Best Practices" (Regression and Component Testing).
* Appian Lead Developer Certification: Application Maintenance Module (Database Migration Strategies).
* Appian Best Practices: "Managing Large-Scale Changes in Appian" (Test Planning).


NEW QUESTION # 35
You are the lead developer for an Appian project, in a backlog refinement meeting. You are presented with the following user story:
"As a restaurant customer, I need to be able to place my food order online to avoid waiting in line for takeout." Which two functional acceptance criteria would you consider 'good'?

  • A. The user will receive an email notification when their order is completed.
  • B. The user cannot submit the form without filling out all required fields.
  • C. The user will click Save, and the order information will be saved in the ORDER table and have audit history.
  • D. The system must handle up to 500 unique orders per day.

Answer: B,C

Explanation:
Comprehensive and Detailed In-Depth Explanation:As an Appian Lead Developer, defining "good" functional acceptance criteria for a user story requires ensuring they are specific, testable, and directly tied to the user's need (placing an online food order to avoid waiting in line). Good criteria focus on functionality, usability, and reliability, aligning with Appian's Agile and design best practices. Let's evaluate each option:
* A. The user will click Save, and the order information will be saved in the ORDER table and have audit history:This is a "good" criterion. It directly validates the core functionality of the user story-placing an order online. Saving order data in the ORDER table (likely via a process model or Data Store Entity) ensures persistence, and audit history (e.g., using Appian's audit logs or database triggers) tracks changes, supporting traceability and compliance. This is specific, testable (e.g., verify data in the table and logs), and essential for the user's goal, aligning with Appian's data management and user experience guidelines.
* B. The user will receive an email notification when their order is completed:While useful, this is a
"nice-to-have" enhancement, not a core requirement of the user story. The story focuses on placing an order online to avoid waiting, not on completion notifications. Email notifications add value but aren't essential for validating the primary functionality. Appian's user story best practices prioritize criteria tied to the main user need, making this secondary and not "good" in this context.
* C. The system must handle up to 500 unique orders per day:This is a non-functional requirement (performance/scalability), not a functional acceptance criterion. It describes system capacity, not specific user behavior or functionality. While important for design, it's not directly testable for the user story's outcome (placing an order) and isn't tied to the user's experience. Appian's Agile methodologies separate functional and non-functional requirements, making this less relevant as a
"good" criterion here.
* D. The user cannot submit the form without filling out all required fields:This is a "good" criterion. It ensures data integrity and usability by preventing incomplete orders, directly supporting the user's ability to place a valid online order. In Appian, this can be implemented using form validation (e.g., required attributes in SAIL interfaces or process model validations), making it specific, testable (e.g., verify form submission fails with missing fields), and critical for a reliable user experience. This aligns with Appian's UI design and user story validation standards.
Conclusion: The two "good" functional acceptance criteria are A (order saved with audit history) and D (required fields enforced). These directly validate the user story's functionality (placing a valid order online), are testable, and ensure a reliable, user-friendly experience-aligning with Appian's Agile and design best practices for user stories.
References:
* Appian Documentation: "Writing Effective User Stories and Acceptance Criteria" (Functional Requirements).
* Appian Lead Developer Certification: Agile Development Module (Acceptance Criteria Best Practices).
* Appian Best Practices: "Designing User Interfaces in Appian" (Form Validation and Data Persistence).


NEW QUESTION # 36
You are required to configure a connection so that Jira can inform Appian when specific tickets change (using a webhook). Which three required steps will allow you to connect both systems?

  • A. Create an integration object from Appian to Jira to periodically check the ticket status.
  • B. Create a new API Key and associate a service account.
  • C. Give the service account system administrator privileges.
  • D. Create a Web API object and set up the correct security.
  • E. Configure the connection in Jira specifying the URL and credentials.

Answer: B,D,E

Explanation:
Comprehensive and Detailed In-Depth Explanation:Configuring a webhook connection from Jira to Appian requires setting up a mechanism for Jira to push ticket change notifications to Appian in real-time.
This involves creating an endpoint in Appian to receive the webhook and configuring Jira to send the data.
Appian's Integration Best Practices and Web API documentation provide the framework for this process.
* Option A (Create a Web API object and set up the correct security):This is a required step. In Appian, a Web API object serves as the endpoint to receive incoming webhook requests from Jira. You must define the API structure (e.g., HTTP method, input parameters) and configure security (e.g., basic authentication, API key, or OAuth) to validate incoming requests. Appian recommends using a service account with appropriate permissions to ensure secure access, aligning with the need for a controlled webhook receiver.
* Option B (Configure the connection in Jira specifying the URL and credentials):This is essential.
In Jira, you need to set up a webhook by providing the Appian Web API's URL (e.g., https://<appian- site>/suite/webapi/<web-api-name>) and the credentials or authentication method (e.g., API key or basic auth) that match the security setup in Appian. This ensures Jira can successfully send ticket change events to Appian.
* Option C (Create a new API Key and associate a service account):This is necessary for secure authentication. Appian recommends using an API key tied to a service account for webhook integrations. The service account should have permissions to process the incoming data (e.g., write to a process or data store) but not excessive privileges. This step complements the Web API security setup and Jira configuration.
* Option D (Give the service account system administrator privileges):This is unnecessary and insecure. System administrator privileges grant broad access, which is overkill for a webhook integration. Appian's security best practices advocate for least-privilege principles, limiting the service account to the specific objects or actions needed (e.g., executing the Web API).
* Option E (Create an integration object from Appian to Jira to periodically check the ticket status):This is incorrect for a webhook scenario. Webhooks are push-based, where Jira notifies Appian of changes. Creating an integration object for periodic polling (pull-based) is a different approach and not required for the stated requirement of Jira informing Appian via webhook.
These three steps (A, B, C) establish a secure, functional webhook connection without introducing unnecessary complexity or security risks.
References:Appian Documentation - Web API Configuration, Appian Integration Best Practices - Webhooks, Appian Lead Developer Training - External System Integration.
The three required steps that will allow you to connect both systems are:
* A. Create a Web API object and set up the correct security. This will allow you to define an endpoint in Appian that can receive requests from Jira via webhook. You will also need to configure the security settings for the Web API object, such as authentication method, allowed origins, and access control.
* B. Configure the connection in Jira specifying the URL and credentials. This will allow you to set up a webhook in Jira that can send requests to Appian when specific tickets change. You will need to specify the URL of the Web API object in Appian, as well as any credentials required for authentication.
* C. Create a new API Key and associate a service account. This will allow you to generate a unique token that can be used for authentication between Jira and Appian. You will also need to create a service account in Appian that has permissions to access or update data related to Jira tickets.
The other options are incorrect for the following reasons:
* D. Give the service account system administrator privileges. This is not required and could pose a security risk, as giving system administrator privileges to a service account could allow it to perform actions that are not related to Jira tickets, such as modifying system settings or accessing sensitive data.
* E. Create an integration object from Appian to Jira to periodically check the ticket status. This is not required and could cause unnecessary overhead, as creating an integration object from Appian to Jira would involve polling Jira for ticket status changes, which could consume more resources than using webhook notifications. Verified References: Appian Documentation, section "Web API" and "API Keys".


NEW QUESTION # 37
You add an index on the searched field of a MySQL table with many rows (>100k). The field would benefit greatly from the index in which three scenarios?

  • A. The field contains long unstructured text such as a hash.
  • B. The field contains big integers, above and below 0.
  • C. The field contains a structured JSON.
  • D. The field contains a textual short business code.
  • E. The field contains many datetimes, covering a large range.

Answer: B,D,E

Explanation:
Comprehensive and Detailed In-Depth Explanation:Adding an index to a searched field in a MySQL table with over 100,000 rows improves query performance by reducing the number of rows scanned during searches, joins, or filters. The benefit of an index depends on the field's data type, cardinality (uniqueness), and query patterns. MySQL indexingbest practices, as aligned with Appian's Database Optimization Guidelines, highlight scenarios where indices are most effective.
* Option A (The field contains a textual short business code):This benefits greatly from an index. A short business code (e.g., a 5-10 character identifier like "CUST123") typically has high cardinality (many unique values) and is often used in WHERE clauses or joins. An index on this field speeds up exact-match queries (e.g., WHERE business_code = 'CUST123'), which are common in Appian applications for lookups or filtering.
* Option C (The field contains many datetimes, covering a large range):This is highly beneficial.
Datetime fields with a wide range (e.g., transaction timestamps over years) are frequently queried with range conditions (e.g., WHERE datetime BETWEEN '2024-01-01' AND '2025-01-01') or sorting (e.g., ORDER BY datetime). An index on this field optimizes these operations, especially in large tables, aligning with Appian's recommendation to index time-based fields for performance.
* Option D (The field contains big integers, above and below 0):This benefits significantly. Big integers (e.g., IDs or quantities) with a broad range and high cardinality are ideal for indexing. Queries like WHERE id > 1000 or WHERE quantity < 0 leverage the index for efficient range scans or equality checks, a common pattern in Appian data store queries.
* Option B (The field contains long unstructured text such as a hash):This benefits less. Long unstructured text (e.g., a 128-character SHA hash) has high cardinality but is less efficient for indexing due to its size. MySQL indices on large text fields can slow down writes and consume significant storage, and full-text searches are better handled with specialized indices (e.g., FULLTEXT), not standard B-tree indices. Appian advises caution with indexing large text fields unless necessary.
* Option E (The field contains a structured JSON):This is minimally beneficial with a standard index.
MySQL supports JSON fields, but a regular index on the entire JSON column is inefficient for large datasets (>100k rows) due to its variable structure. Generated columns or specialized JSON indices (e.
g., using JSON_EXTRACT) are required for targeted queries (e.g., WHERE JSON_EXTRACT (json_col, '$.key') = 'value'), but this requires additional setup beyond a simple index, reducing its immediate benefit.
For a table with over 100,000 rows, indices are most effective on fields with high selectivity and frequent query usage (e.g., short codes, datetimes, integers), making A, C, and D the optimal scenarios.
References:Appian Documentation - Database Optimization Guidelines, MySQL Documentation - Indexing Strategies, Appian Lead Developer Training - Performance Tuning.


NEW QUESTION # 38
Users must be able to navigate throughout the application while maintaining complete visibility in the application structure and easily navigate to previous locations. Which Appian Interface Pattern would you recommend?

  • A. Include a Breadcrumbs pattern on applicable interfaces to show the organizational hierarchy.
  • B. Implement a Drilldown Report pattern to show detailed information about report data.
  • C. Implement an Activity History pattern to track an organization's activity measures.
  • D. Use Billboards as Cards pattern on the homepage to prominently display application choices.

Answer: A

Explanation:
Comprehensive and Detailed In-Depth Explanation:The requirement emphasizes navigation with complete visibility of the application structure and the ability to return to previous locations easily. TheBreadcrumbs patternis specifically designed to meet this need. According to Appian's design best practices, the Breadcrumbs pattern provides a visual trail of the user's navigation path, showing the hierarchy of pages or sections within the application. This allows users to understand their current location relative to the overall structure and quickly navigate back to previous levels by clicking on the breadcrumb links.
* Option A (Billboards as Cards):This pattern is useful for presenting high-level options or choices on a homepage in a visually appealing way. However, it does not address navigation visibility or the ability to return to previous locations, making it irrelevant to the requirement.
* Option B (Activity History):This pattern tracks and displays a log of activities or actions within the application, typically for auditing or monitoring purposes. It does not enhance navigation or provide visibility into the application structure.
* Option C (Drilldown Report):This pattern allows users to explore detailed data within reports by drilling into specific records. While it supports navigation within data, it is not designed for general application navigation or maintaining structural visibility.
* Option D (Breadcrumbs):This is the correct choice as it directly aligns with the requirement. Per Appian's Interface Patterns documentation, Breadcrumbs improve usability by showing ahierarchical path (e.g., Home > Section > Subsection) and enabling backtracking, fulfilling both visibility and navigation needs.
References:Appian Design Guide - Interface Patterns (Breadcrumbs section), Appian Lead Developer Training - User Experience Design Principles.


NEW QUESTION # 39
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