This page was exported from Free Exams Dumps Materials [ http://exams.dumpsmaterials.com ] Export date:Thu Nov 21 20:30:22 2024 / +0000 GMT ___________________________________________________ Title: [Mar 20, 2024] Pass Your ACD300 Dumps Free Latest Appian Practice Tests [Q21-Q37] --------------------------------------------------- [Mar 20, 2024] Pass Your ACD300 Dumps Free Latest Appian Practice Tests Get Top-Rated Appian ACD300 Exam Dumps Now NEW QUESTION 21For each scenario outlined, match the best tool to use to meet expectations. Each tool will be used once Note: To change your responses, you may deselected your response by clicking the blank space at the top of the selection list. NEW QUESTION 22As part of an upcoming release of an application, a new nullable field is added to a table that contains customer dataThe new field is used by a reportin the upcoming release, and is calculated using data from another table.Which two actions should you consider when creating the script to add the new field?  Create a script thatadds the held and leaves it null.  Create a rollback script that removes the field.  Create a script that adds the field and then populate it  Create a rollback script that clears the data from the field  Add a view that joins the customer data to the data used in calculation ExplanationWhen creating a script to add a new field to a table, you should consider two actions:* Create a rollback script that removes the field. A rollback script is a script that can undo the changes made by the original script, in case something goes wrongor the changes need to be reverted. A rollback script is a good practice to have, as it can help to restore the previous state of the database and avoid any errors or inconsistencies. In this case, the rollback script should remove the new field from the table, and any other changes that were made by the original script.* Create a script that adds the field and then populate it. A script that adds the field and then populate it is a script that can create the new field in the table, and then fill it with data from another table or source.* This way, you can ensure that the new field has valid and consistent data, and that it can be used by the report in the upcoming release. In this case, the script should add the new field to the customer table, and then populate it with data from another table that contains the data used in the calculation.NEW QUESTION 23You 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 take out.’ Which two functional acceptance criteria would you consider ‘good’?  The user will click Save, and the order information will be saved in the ORDER table and have audit history  The user will receive an email notification when their order is completed.  The system mutt handle up to 500 unique orders per day  The user cannot submit the form without filling out all required fields. ExplanationFunctional acceptance criteria are the conditions that a user story must satisfy to be accepted by the user or stakeholder. They should be specific, measurable, achievable, relevant, and testable. In this case, two functional acceptance criteria that would be considered ‘good’ are:* The user will receive an email notification when their order is completed. This is a specific, measurable, achievable, relevant, and testable criterion that describes a feature that the user needs to be informed of their order status.* The user cannot submit the form without filling out all required fields. This is a specific, measurable, achievable, relevant, and testable criterion that describes afeature that the user needs to provide valid and complete information for their order.The other options are not as good. Option A, the user will click Save, and the order information will be saved in the ORDER table and have audit history, is not a functional acceptance criterion, but rather a technical implementation detail that is not relevant or visible to the user. Option C, the system must handle up to 500 unique orders per day, is not a functional acceptance criterion, but rather a non-functional requirement that describes a performance or quality attribute of the system.NEW QUESTION 24What are two advantages of having High Availability (HA) for Applan Cloud applications?  An Applan Cloud HA instance is composed of multiple active nodes running in different availability zones in differentregions.  Data andtransactions are continuouslyreplicated across the active nodes to achieve redundancy and avoid single points offailure.  A typical Appian Cloud HA instance is composed of two active nodes.  In the event of a system failure, your Appian instance will fie restored and available to your users in less than 15 minutes.having lost no more than the last 1minute worth of data. ExplanationThe two advantages of having High Availability (HA) for Appian Cloud applications are:* B. Data and transactions are continuously replicated across the active nodes to achieve redundancy and avoid single points of failure. This is an advantage of having HA, as it ensures that there is always a backup copy of data and transactions in case one of the nodes fails or becomes unavailable. This also improves data integrity and consistency across the nodes, as any changes made to one node are automatically propagated to the other node.* D. In the event of a system failure, your Appian instance will be restored and available to your users in less than 15 minutes, having lost no more than the last 1 minute worth of data. This is an advantage of having HA, as it guarantees a high level of service availability and reliability for your Appian instance.If one of the nodes fails or becomes unavailable, the other node will take over and continue to serve requests without any noticeable downtime or data loss for your users.The other options are incorrect for the following reasons:* A. An Appian Cloud HA instance is composed of multiple active nodes running in different availability zones in different regions. This is not an advantage of having HA, but rather a description of how HA works in Appian Cloud. An Appian Cloud HA instanceconsists of two active nodes running in different availability zones within the same region, not different regions.* C. A typical Appian Cloud HA instance is composed of two active nodes. This is not an advantage of having HA, but rather a description of how HA works in Appian Cloud. A typical Appian Cloud HA instance consists of two active nodes running in different availability zones within the same region, but this does not necessarily provide any benefit over having one active node. Verified References: Appian Documentation, section “High Availability”.NEW QUESTION 25You are running an inspection as a part of the first deployment process from TEST to PROD. You receive a notice that one of your objects will not deploy because it is dependent on an object from an application owned by a separate team.What should be your next step?  Create your own object with the same code base, replace (he dependent object in the application. and deploy to PROO.  Halt the production deployment and contact the other team tor guidance on promoting the object to PROD  Check the dependencies of the necessary object Deploy w PROO if there are few dependencies and it is low risk  Push a functionally viable package to PROD without the dependencies, and plan the rest o! the deployment accordingly with the other team’s constraints ExplanationDeploying an object that is dependent on another object from a different application can cause errors and inconsistencies in the production environment. The best practice is to halt the production deployment and contact the other team for guidance on how to promote the object to PROD. The other team may have a different deployment schedule, or they may have some dependencies or customizations that need to be considered. By communicating with the other team, you can ensure that the object is deployed in a safe and coordinated manner, and avoid any potential conflicts or issues. Verified References: [Appian Deployment Guide], [Appian Best Practices]NEW QUESTION 26Your 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?  Have each team choose the stones they would like to work on based on personal preference  Group epics and stones by technical difficulty, and allocate one team the more challenging stories  Group epics and stones by feature, and allocate work between each team by feature.  Allocate stories to each team based on the cumulative years of experience of the team members. NEW QUESTION 27You have 5 applications on your Appian platform in production. Users are now beginning to use multiple applications across the platform, and the client wants to ensure a consistent user experience across all applications You notice that some applications use rich text some use section layouts, and others use box layouts. The result is that each application has a different color and size for the header.What would you recommend to ensure consistency across the platform?  Create constants for text size and color, and update each section lo reference these values.  In the common application, create a rule that can be used across the platform for section headers, and update each application to reference this new rule  In the common application, create one rule for each application, and update each application to reference its respective rule  In each individual application, create a rule that can be used lot tot section headers, and update each application lo reference its respective rule ExplanationThe best way to ensure consistency across the platform is to create a rule that can be used across the platform for section headers. This rule can be created in the common application, and then each application can be updated to reference this rule. This will ensure that all of the applications use the same color and size for the header, which will provide a consistent user experience.The other options are not as effective. Option A, creating constants for text size and color, and updating each section to reference these values, would require updating each section in each application. This would be a lot of work, and it would be easy to make mistakes. Option C, creating one rule for each application, would also require updating each application. This would be less work than option A, but it would still be a lot of work, and it would be easy to make mistakes. Option D, creating a rule in each individual application, would not ensure consistency across the platform. Each application would have its own rule, and the rules could be different. This would not provide a consistent user experience.Best Practices:* When designing a platform, it is important to consider the user experience. A consistent user experience will make it easier for users to learn and use the platform.* When creating rules, it is important to use them consistently across the platform. This will ensure that the platform has a consistent look and feel.* When updating the platform, it is important to test the changes to ensure that they do not break the user experience.NEW QUESTION 28You 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?  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  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.  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.  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. ExplanationThis 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 29You are deciding the appropriate process model data management strategy.For each requirement. match the appropriate strategies to implement. Each strategy will be used once.Note: To change your responses, you may deselect your response by clicking the blank space at the top of the selection list. ExplanationRequirement: Archive processes 2 days after completion or cancellation. Correct match: A. Processes that need to be available for 2 days after completion or cancellation, after which are no longer required nor accessible Exact explanation of correct match taken from Appian Documentation: This strategy is called“Archive after 2 days” and it is one of the options for process model data management in Appian. This strategy means that processes that complete or cancel will remain available for 2 days, after which they will be archived and no longer accessible. This strategy can help reduce the size of the process database and improve the performance of process reporting.Requirement: Use system default (currently auto-archive processes 7 days after completion or cancellation).Correct match: C. Processes that remain available for 7 days after completion or cancellation, after which are archived when accessed Exact explanation of correct match taken from Appian Documentation: This strategy is called “Use system default” and it is one of the options for process model data management in Appian. This strategy means that processes that complete or cancel will remain available for 7 days, after which they will be archived when accessed. This strategy can help balance the availability and performance of process data, as it allows processes to be archived on demand rather than on a fixed schedule.Requirement: Delete processes 2 days after completion or cancellation. Correct match: B. Processes that need to be available for 2 days after completion or cancellation, after which remain accessible Exact explanation of correct match taken from Appian Documentation: This strategy is called “Delete after 2 days” and it is one of the options for process model data management in Appian. This strategy means that processes that complete or cancel will remain available for 2 days, after which they will be deleted and no longer accessible. This strategy can help reduce the size of the process database and improve the performance of process reporting, but it also means that process data will be permanently lost.Requirement: Do not automatically clean-up processes. Correct match: D. Processes that need to remain available without the need to unarchive Exact explanation of correct match taken from Appian Documentation: This strategy is called “Do not automatically clean-up” and it is one of the options for process model data management in Appian. This strategy means that processes that complete or cancel will remain available indefinitely without being archived or deleted. This strategy can help ensure the availability and integrity of process data, but it also means that the process database will grow over time and affect the performance of process reporting.NEW QUESTION 30You 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?  site_id  status  name  modified_date  priority  case_id ExplanationIndexing 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 PracticesNEW QUESTION 31You 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?  The field contains a textual shot Business code.  The field contains long unstructured text such as a hash  The field contains many datetimes, covering a large range  The Add contains Dig integers, above and below 0.  The field contains a structured JSON. ExplanationThe 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 32You are taskedto build a large scale acquisition application for a prominent customer. The acquisition process tracks the time it takes is fulfill a purchase request with an award.The customer has structured the contract so that there are multiple application dev teams.How should you design for multiple processes and forms, while minimizing repeated code?  Create a Center of Excellence (CoE)  Create a common objects application.  Create a Scrum of Scrums sprint meeting for the team leads  Create duplicate processes and forms as needed ExplanationTo build a large scale acquisition application for a prominent customer, you should design for multiple processes and forms, while minimizing repeated code. One way to do this is to create a common objects application, which is a shared application that contains reusable components, such as rules, constants, interfaces, integrations, or data types, that can be used by multiple applications. This way, you can avoid duplication and inconsistency of code, and make it easier to maintain and update your applications. You can also use the common objects application to define common standards and best practices for your application development teams, such as naming conventions, coding styles, or documentation guidelines. Verified References: [Appian Best Practices], [Appian Design Guidance]NEW QUESTION 33You 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?  Data from previous tests needs to remain in the testing environment prior to loading prepopulated data  large datasets must be loaded via Applan processes  The amount of data that needs to be populated should be determined by the project sponsor and the stakeholders based on their estimation  Testing with the correct amount of data should be in the definition of done as part of each sprint.  Data model changes must wait until towards the end of the protect. ExplanationWhen 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 34Your 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?  The time zone of the server where Applan is intuited  The line zone of the user who most recently published the process model  The default time zone for the environment as specified in the Administration Console  The time zone of the user who is completing the input task. ExplanationIn 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 35You need to export data using an out-of-the-box Appian smart service. Which two formats are available (or data generation?  CSV  XML  Excel  JSDN ExplanationThe 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”. Loading … Passing Key To Getting ACD300 Certified Exam Engine PDF: https://www.dumpsmaterials.com/ACD300-real-torrent.html --------------------------------------------------- Images: https://exams.dumpsmaterials.com/wp-content/plugins/watu/loading.gif https://exams.dumpsmaterials.com/wp-content/plugins/watu/loading.gif --------------------------------------------------- --------------------------------------------------- Post date: 2024-03-20 13:25:49 Post date GMT: 2024-03-20 13:25:49 Post modified date: 2024-03-20 13:25:49 Post modified date GMT: 2024-03-20 13:25:49