2024 Easily pass ACD300 Exam with our Dumps & PDF Test Engine [Q17-Q42]

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NEW QUESTION # 17
You are required to create an integration from your Appian cloud instance to an application hosted within a customers self-managed environment.
The customers IT team has provided you with a REST API endpoint to test with; httpsV/lnternal networkVapi/api /ping Which recommendation should you make to progress this integration?

• A. Add Appian Cloud's IP address ranges lo the customer network's allowed IP listing
• B. Deploy the API / service into Appian Cloud
• C. Expose the API as a SOAP-basedweb service.
• D. Set up a VPN tunnel

Answer: D

Explanation:
Explanation
To create an integration from your Appian cloud instance to an application hosted within a customer's self-managed environment, you need to ensure that there is a secure and reliable connection between the two systems. One way to do this is to set up a VPN tunnel, which is a virtual private network that encrypts and transports data over the internet. A VPN tunnel allows you to access the customer's internal network and API endpoint from your Appian cloud instance, without exposing them to the public internet. This way, you can ensure the security and privacy of the data that is exchanged between the two systems. Verified References:
[Appian Cloud VPN], [Appian Integration Guide]

NEW QUESTION # 18
Your Agile Scrum project requires you to manage two teams, with three developers per team. Both teams are to work on the same application In parallel.
How should the work be divided between the teams, avoiding issues caused by cross-dependency?

• A. Have each team choose the stones they would like to work on based on personal preference
• B. Group epics and stones by technical difficulty, and allocate one team the more challenging stories
• C. Allocate stories to each team based on the cumulative years of experience of the team members.
• D. Group epics and stones by feature, and allocate work between each team by feature.

Answer: D

Explanation:
Explanation
The best way to divide the work between the teams, avoiding issues caused by cross-dependency, is to group epics and stories by feature, and allocate work between each team by feature. This way, each team can focus on a specific feature and minimize the need for coordination or integration with the other team. This also reduces the risk of conflicts or errors when merging the code from both teams. Verified References: Appian Documentation, section "Agile Development".

NEW QUESTION # 19
You are reviewing log files that can be accessed in Appian to monitor and troubleshoot platform-based issues.
For each type of log file, match the corresponding Information that it provides. Each description will either be used once, or not at all.
Note: To change your responses, you may deselect your response by clicking the blank space at the top of the selection list.

Answer:

Explanation:

NEW QUESTION # 20
You are selling up a new cloud environment. The customer already has a system of record for Its employees and doesn't want to re-create them in Appian. so you are going to Implement LDAP authentication.
What are the next steps to configure LDAP authentication?
To answer, move the appropriate steps from the Option list to the Answer List area, and arrange them in the correct order. You may or may not use all the steps.

Answer:

Explanation:

* Navigate to the Admin console > Authentication > LDAP. This is the first step, as it allows you to access the settings and options for LDAP authentication in Appian.
* Work with the customer LDAP point of contact to obtain the LDAP authentication xsd. Import the xsd file in the Admin console. This is the second step, as it allows you to define the schema and structure of the LDAP data that will be used for authentication in Appian. You will need to work with the customer LDAP point of contact to obtain the xsd file that matches their LDAP server configuration and data model. You will then need to import the xsd file in the Admin console using the Import Schema button.
* Enable LDAP and enter the LDAP parameters, such as the URL of the LDAP server and plaintext credentials. This is the third step, as it allows you to enable and configure the LDAP authentication in Appian. You will need to check the Enable LDAP checkbox and enter the required parameters, such as the URL of the LDAP server, the plaintext credentials for connecting to the LDAP server, and the base DN for searching for users in the LDAP server.
* Test the LDAP integration and see if it succeeds. This is the fourth and final step, as it allows you to verify and validate that the LDAP authentication is working properly in Appian. You will need
* to use the Test Connection button to test if Appian can connect to the LDAP server successfully.
You will also need to use the Test User Lookup button to test if Appian can find and authenticate a user from the LDAP server using their username and password.

NEW QUESTION # 21
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 Add contains Dig integers, above and below 0.
• B. The field contains long unstructured text such as a hash
• C. The field contains a textual shot Business code.
• D. The field contains many datetimes, covering a large range
• E. The field contains a structured JSON.

Answer: A,C,D

Explanation:
Explanation
The field would benefit greatly from the index in the following scenarios:
* A. The field contains a textual short Business code. This is a scenario where an index can improve the performance of queries that search for exact matches or ranges of values in the field. A textual short Business code is likely to have high cardinality, meaning that it has many distinct values and low duplication. This makes the index more selective and efficient, as it can quickly narrow down the results based on the search criteria.
* C. The field contains many datetimes, covering a large range. This is a scenario where an index can improve the performance of queries that search for exact matches or ranges of values in the field. A datetime field is likely to have high cardinality, meaning that it has many distinct values and low duplication. This makes the index more selective and efficient, as it can quickly narrow down the results based on the search criteria.
* D. The field contains big integers, above and below 0. This is a scenario where an index can improve the performance of queries that search for exact matches or ranges of values in the field. A big integer field is likely to have high cardinality, meaning that it has many distinct values and low duplication. This makes the index more selective and efficient, as it can quickly narrow down the results based on the search criteria.
The other options are incorrect for the following reasons:
* B. The field contains long unstructured text such as a hash. This is a scenario where an index might not improve the performance of queries that search for exact matches or ranges of values in the field. A long unstructured text field is likely to have low cardinality, meaning that it has few distinct values and high duplication. This makes the index less selective and efficient, as it cannot quickly narrow down the results based on the search criteria. Moreover, indexing a long unstructured text field could increase thestorage space and maintenance cost for the database, which could affect the overall performance.
* E. The field contains a structured JSON. This is a scenario where an index might not improve the performance of queries that search for exact matches or ranges of values in the field. A structured JSON field is not a native data type in MySQL, and it requires special functions or operators to access or manipulate its elements. Indexing a structured JSON field could increase the complexity and overhead for the database, which could affect the overall performance. Verified References: Appian Documentation, section "Query Optimization".

NEW QUESTION # 22
As part of your implementation workflow, users need to retrieve data stored in a third-party Oracle database on an interface. You need to design a way to query this information.
How should you set up this connection and query the data?

• A. Configure an expression-backed record type, calling an API to retrieve the data from the third-party database. Then, use allqueryRecordType to retrieve the data.
• B. Configure a limed utility process that queries data from the thirdparty database daily, and stores It in the Applan business database, Then use alqueryEntity eating the Applan data source to retrieve the data.
• C. in the Administration Console configure the third-party database as a ''New Data Source,'' Then, use alqueryEntity to retrieve the data.
• D. Configure a Query DataBase node within the process model Then, type in the connection information, as well as a SQL query to execute and return the data in process variables.

Answer: C

Explanation:
Explanation
To meet the application requirement of allowing users to navigate throughout the application while maintaining complete visibility in the application structure, and easily navigate to previous locations, you should include a breadcrumbs pattern on applicable interfaces to show the organizational hierarchy. A breadcrumbs pattern is a user interface component that displays the current location of the user within the application, and provides links to the previous levels of the hierarchy. For example, if the user is viewing a product details page, the breadcrumbs pattern could show something like "Home > Products > Product Details". This way, the user can see where they are in the application, and easily go back to any previous level by clicking on the corresponding link.
The other options are not as effective. Option A, using Tiles as Cards pattern on the home page to prominently display application choices, would provide a way for users to access different parts of the application from the home page, but it would not show the organizational hierarchy or allow users to navigate to previous locations.
Option B, implementing an Activity History pattern to track an organization's activity measures, would provide a way for users to see the recent actions performed by themselves or others in the application, but it would not show the organizational hierarchy or allow users to navigate to previous locations. Option C, implementing a drilldown report pattern to show detailed information about report data, would provide a way for users to explore different levels of data in a report, but it would not show the organizational hierarchy or allow users to navigate to previous locations.

NEW QUESTION # 23
You are planning a strategy around data volume testing for an Appian application that queries and writes to MySQL database.
You have administrator access to the Appian application and to the database.
What are two key considerations when designing a data volume testing strategy?

• A. Testing with the correct amount of data should be in the definition of done as part of each sprint.
• B. large datasets must be loaded via Applan processes
• C. Data model changes must wait until towards the end of the protect.
• D. The amount of data that needs to be populated should be determined by the project sponsor and the stakeholders based on their estimation
• E. Data from previous tests needs to remain in the testing environment prior to loading prepopulated data

Answer: A,C

Explanation:
Explanation
When designing a data volume testing strategy for an Appian application that queries and writes to MySQL database, you should consider two key considerations:
* Testing with the correct amount of data should be in the definition of done as part of each sprint. Data volume testing is a type of testing that verifies how well an application performs when handling large amounts of data. Data volume testing is important to ensure that the application meets the performance and quality requirements of the users and stakeholders. By including data volume testing in the definition of done as part of each sprint, you can ensure that each feature or functionality of your application is tested with realistic data volumes before being delivered to production. This way, you can identify and resolve any potential issues or bottlenecks early in the development cycle, and avoid any surprises or delays later on.
* Data model changes must wait until towards the end of the project. Data model changes are changes that affect the structure or schema of your database, such as adding, modifying, or deleting tables, columns, indexes, or constraints. Data model changes are risky and costly to make, especially when dealing with large amounts of data. Data model changes can affect the performance, functionality, or integrity of your
* application and database. Therefore, data model changes must wait until towards the end of the project, when you have finalized your requirements and design decisions, and have minimized your data volume testing efforts. By waiting until towards the end of the project to make data model changes, you can reduce the impact and complexity of those changes, and avoid any unnecessary rework or regression.
The other options are not as effective. Option A, data from previous tests needs to remain in the testing environment prior to loading prepopulated data, is not a key consideration for designing a data volume testing strategy, but rather a best practice for preparing your testing environment. Option B, large datasets must be loaded via Appian processes, is not a key consideration for designing a data volume testing strategy, but rather a technical implementation detail that may or may not be suitable for your application. Option C, the amount of data that needs to be populated should be determined by the project sponsor and the stakeholders based on their estimation, is not a key consideration for designing a data volume testing strategy, but rather an input or assumption that you need to validate before conducting your data volume testing.

NEW QUESTION # 24
You need to export data using an out-of-the-box Appian smart service. Which two formats are available (or data generation?

• A. JSDN
• B. Excel
• C. XML
• D. CSV

Answer: B,D

Explanation:
Explanation
The two formats that are available for data generation using an out-of-the-box Appian smart service are:
* A. CSV. This is a comma-separated values format that can be used to export data in a tabular form, such as records, reports, or grids. CSV files can be easily opened and manipulated by spreadsheet applications such as Excel or Google Sheets.
* C. Excel. This is a format that can be used to export data in a spreadsheet form, with multiple worksheets, formatting, formulas, charts, and other features. Excel files can be opened by Excel or other compatible applications.
The other options are incorrect for the following reasons:
* B. XML. This is a format that can be used to export data in a hierarchical form, using tags and attributes to define the structure and content of the data. XML files can be opened by text editors or XML parsers, but they are not supported by the out-of-the-box Appian smart service for data generation.
* D. JSON. This is a format that can be used to export data in a structured form, using objects and arrays to represent the data. JSON files can be opened by text editors or JSON parsers, but they are not supported by the out-of-the-box Appian smart service for data generation. Verified References: Appian Documentation, section "Write to Data Store Entity" and "Write to Multiple Data Store Entities".

NEW QUESTION # 25
You have an active development team (Team A) building enhancements for an application (App X'). and ate currently using the TEST environment for UAT.
A separate operations team ('Team B) discovers a critical error in the Production instance of App X that they must remediate However. Team 6 does not have a hotfix stream for which to accomplish this The available environments are DEV. TEST, and PROD Which risk mitigation effort should both teams employ to ensure Team AS capital project is only minorly interrupted, and Team B s critical fix can be completed and deployed quickly to end users?

• A. Team 8 must address changes in the TEST environment These changes can then be tested and deployed directly to PROD. Once the deployment is complete. Team B can then communicate their changes to Teams to ensure they are Incorporated as a part of the next release.
• B. Team 8 must communicate to Team A which component will be addressed in the hotfix to avoid overlap of changes It overlap exists, the component must be versioned to its PROD state before being remediated and deployed, and then versioned back to its latest development state If overlap does not exist, the component may be remediated and deployed without any version changes
• C. Team 8 must address the changes directly in PROD. As there is no hotfix stream, and OEV and TEST are being utilized for active development it is best to avoid a conflict of components. Once Team A has completed their enhancements work. Team 6 can update DEV and TEST accordingly.
• D. Team A must analyze their current codebase in OEV lo merge the hotfix changes into their latest enhancements. Team B is then requited to wait for the hotfix to follow regular deployment protocols from DEV to the PROO environment.

Answer: B

Explanation:
Explanation
This is the best risk mitigation effort that both teams can employ to ensure that Team A's capital project is only minorly interrupted, and Team B's critical fix can be completed and deployed quickly to end users. By communicating with Team A, Team B can identify which component is causing the critical error in PROD, and check if there is any overlap of changes with Team A's enhancements. If there is an overlap, Team B can version the component to its PROD state, which is the last stable version, before making any changes to fix the error. Then, Team B can deploy the fixed component to PROD, and version it back to its latest development state, which includes Team A's enhancements. This way, Team B can avoid overwriting or losing any of Team A's work, and ensure that the component is consistent across all environments. If there is no overlap, Team B can simply make the changes to the component and deploy it to PROD, without affecting Team A's work.
The other options are not as effective. Option B, having Team A analyze their current codebase in DEV to merge the hotfix changes into their latest enhancements, would delay the deployment of the critical fix, as Team B would have to wait for Team A to finish their analysis and merge. Option C, having Team B address the changes in TEST, would interrupt Team A's UAT process, and could cause conflicts or errors in TEST or PROD. Option D, having Team B address the changes directly in PROD, would be risky and not recommended, as it could introduce new errors or inconsistencies in PROD.
Verified References: [Appian Deployment Guide], [Appian Best Practices]

NEW QUESTION # 26
Your Agile Scrum project requires you to manage two teams, with three developers per team. Both teams are to work on the same application In parallel.
How should the work be divided between the teams, avoiding issues caused by cross-dependency?

• A. Have each team choose the stones they would like to work on based on personal preference
• B. Group epics and stones by technical difficulty, and allocate one team the more challenging stories
• C. Allocate stories to each team based on the cumulative years of experience of the team members.
• D. Group epics and stones by feature, and allocate work between each team by feature.

Answer: D

NEW QUESTION # 27
Your application contains a process model that Is scheduled to run daily at a certain time, which kicks off a user input task to a specified user on the 1ST time zone for morning data collection The time zone is set to the (default) pm!timezone.
In this situation, what does the pm!tinezone reflect?

• A. The time zone of the user who is completing the input task.
• B. The line zone of the user who most recently published the process model
• C. The time zone of the server where Applan is intuited
• D. The default time zone for the environment as specified in the Administration Console

Answer: D

Explanation:
Explanation
In this situation, pm!timezone reflects the default time zone for the environment as specified in the Administration Console. pm!timezone is a process variable that returns the time zone of the process. If the time zone is not explicitly set in the process model, then pm!timezone returns the default time zone for the environment, which can be configured in the Administration Console. In this case, the time zone is set to the (default) pm!timezone, which means that the process model does not have a specific time zone, and therefore uses the default time zone for the environment.
The other options are not correct. Option A, the time zone of the server where Appian is installed, is not what pm!timezone reflects, as the server time zone may not be the same as the default time zone for the environment. Option B, the time zone of the user who most recently published the process model, is not what pm!timezone reflects, as the user's time zone may not be the same as the default time zone for the environment. Option D, the time zone of the user who is completing the input task, is not what pm!timezone reflects, as the user's time zone may not be the same as the default time zone for the environment.

NEW QUESTION # 28
You are asked to design a case management system for a client in addition to storing some basic metadata about a case, one of the client s requirements Is the ability for users to update a case The client would like any user in their organization of 500 people to be able to make these updates The users are all based in the company's headquarters, and there will be frequent cases where users are attempting to edit the same case. The client wants to ensure no information Is lost when these edits occur and does not want the solution to burden their process administrators with any additional effort.
Which data locking approach should you recommend?

• A. Add an Version annotation to the case COT to manage Vie locking
• B. Allow edits without locking the case GDI
• C. Use the database lo implement tow lewd pessimistic locking.
• D. Design a process report and query to determine who opened the edit form first

Answer: A

Explanation:
Explanation
The @Version annotation is a feature of Appian that allows for optimistic locking of CDTs. Optimistic locking assumes that concurrent updates to the same data are rare and does not lock the data until it is saved. If two users try to save changes to the same data, the user who saves first will succeed, while the user who saves second will get an error message and will have to resolve the conflict manually. This approach is suitable for the client's requirement, as itallows any user to update a case without locking it, ensures no information is lost when concurrent edits occur, and does not require any additional effort from the process administrators.
Verified References: [Appian Documentation], section "Optimistic Locking".

NEW QUESTION # 29
On the latest Health Check report from your Cloud TEST environment utilizing a ManaDB add-on. you note the following findings Category; User Experience Description; # of slow query rules Risk; High Category; User Experience Description: U of slow write to data store nodes Risk: High Which three things might you do to address this, without consulting the business?

• A. Optimize the database execution. Replace the new with a materialized view.
• B. Use smaller CDTs or limit the fields selected in alqueryEntity()
• C. Optimize the database execution use standard database performance troubleshooting methods and tools (such as query execution plans)
• D. Reduce the size and complexity of the inputs. If you ore passing in a list, consider whether (he data model can be redesigned lo pass single values instead
• E. Reduce the batch size for database queues to 10.

Answer: B,C,D

Explanation:
Explanation
The three things that might help to address the findings of the Health Check report are:
* B. Optimize the database execution using standard database performance troubleshooting methods and tools (such as query execution plans). This can help to identify and eliminate any bottlenecks or inefficiencies in the database queries that are causing slow query rules or slow write to data store nodes.
* C. Reduce the size and complexity of the inputs. If you are passing in a list, consider whether the data model can be redesigned to pass single values instead. This can help to reduce the amount of data that needs to be transferred or processed by the database, which can improve the performance and speed of the queries or writes.
* E. Use smaller CDTs or limit the fields selected in a!queryEntity(). This can help to reduce the amount of data that is returned by the queries, which can improve the performance and speed of the rules that
* use them.
The other options are incorrect for the following reasons:
* A. Reduce the batch size for database queues to 10. This might not help to address the findings, as reducing the batch size could increase the number of transactions and overhead for the database, which could worsen the performance and speed of the queries or writes.
* D. Optimize the database execution. Replace the new with a materialized view. This might not help to address the findings, as replacing a view with a materialized view could increase the storage space and maintenance cost for the database, which could affect the performance and speed of the queries or writes. Verified References: Appian Documentation, section "Performance Tuning".

NEW QUESTION # 30
You are presented with the following application requirement:
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. Use Bullous as Cards pattern on the home page lo prominently display application choices.
• B. Include a breadcrumbs pattern on applicable inert aces to show the organizational hierarchy
• C. Implement an Activity History pattern to track an organizations activity measures.
• D. implement a drilldown report pattern to show detailed information about report data.

Answer: D

Explanation:
Explanation
To meet the application requirement of allowing users to view summary and detailed information about report data, you should implement a drilldown report pattern to show detailed information about report data. A drilldown report pattern is a user interface component that displays data in a hierarchical structure, and allows users to expand or collapse different levels of data. For example, if the user is viewing a sales report by region, the drilldown report pattern could show something like "North America > USA > California > Los Angeles".
The user can click on any level of data to see more or less details. This way, the user can see both summary and detailed information about report data, and explore different aspects of the data.
The other options are not as effective. Option A, using Tiles as Cards pattern on the home page to prominently display application choices, would provide a way for users to access different parts of the application from the home page, but it would not show summary or detailed information about report data. Option B, implementing an Activity History pattern to track an organization's activity measures, would provide a way for users to see the recent actions performed by themselves or others in the application, but it would not show summary or detailed information about report data. Option D, including a breadcrumbs pattern on applicable interfaces to show the organizational hierarchy, would provide a way for users to see where they are in the application, and easily go back to any previous level by clicking on the corresponding link, but it would not show summary or detailed information about report data.

NEW QUESTION # 31
You are developing a case management application to manage support cases for a large set of sites. One of the tabs in this application s site Is a record grid of cases, along with Information about the site corresponding to that case. Users must be able to filter cases by priority level and status.
You decide to create a view as the source of your entity-backed record, which joins the separate case/site tables (as depicted in the following Image).

Which three column should be indexed?

• A. priority
• B. case_id
• C. status
• D. site_id
• E. modified_date
• F. name

Answer: A,C,D

Explanation:
Explanation
Indexing columns can improve the performance of queries that use those columns in filters, joins, or order by clauses. In this case, the columns that should be indexed are site_id, status, and priority, because they are used for filtering or joining the tables. Site_id is used to join the case and site tables, so indexing it will speed up the join operation. Status and priority are used to filter the cases by the user's input, so indexing them will reduce the number of rows that need to be scanned. Name, modified_date, and case_id do not need to be indexed, because they are not used for filtering or joining. Name and modified_date are only used for displaying information in the record grid, and case_id is only used as a unique identifier for each record. Verified References: Appian Records Tutorial, Appian Best Practices

NEW QUESTION # 32
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