Software Project Management Flashcards

1
Q

Project Phases

A

1.Software Concept
-concept
-Concept exploration
-System exploration

  1. Requirements
    -requirements analysis

3.Analysis
-Architectural Design

4.Design.
-Detailed Design

5.Coding & Debugging
-Implementation
-Development

6.Systems Testing
-QA

  1. Deployment/Maintenance
    -Production
    -Operations
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2
Q

How do you reduce technical debt?

A

Refactoring can help

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3
Q

Code Branches

A

A branch is a copy of a codeline, managed in a version control system (VCS). Branching helps software development teams work in parallel. It separates out “in-progress work” from tested and stable code. The codebase in a VCS is often referred to as the trunk, baseline, master, or mainline.

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4
Q

Features vs Functions

A

The features of a product refer to its specific characteristics or attributes that provide a particular benefit or advantage to the user. For example, the features of a smartphone might include a high-quality camera, a large storage capacity, a long battery life, and a fast processor.

On the other hand, the functions of a product refer to what it is designed to do or the tasks it can perform. For example, the functions of a smartphone might include making phone calls, sending text messages, browsing the internet, taking pictures and videos, and running various apps.

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5
Q

What are some steps to take for making Technical Debt Transparent?

A

To make technical debt transparent, you can take the following steps:
Identify technical debt: You need to have a clear understanding of what technical debt is and what form it takes in your organization. This involves identifying code that is difficult to maintain, features that are not properly tested, documentation that is out of date, and any other issues that contribute to technical debt.

Prioritize technical debt: Once you have identified technical debt, prioritize it based on the impact it has on your product or service. You can use metrics such as customer complaints, bug reports, and maintenance costs to determine the severity of the technical debt.

Communicate technical debt: Communicate the presence and impact of technical debt to the relevant stakeholders, including developers, project managers, and business leaders. Make sure everyone understands the urgency and the potential risks involved in leaving technical debt unaddressed. Track technical debt: Keep track of technical debt over time, including the amount, severity, and progress made in addressing it. You can use tools such as code analysis software, issue tracking systems, and project management software to help you monitor technical debt.

Address technical debt: Finally, take action to address technical debt. This may involve refactoring code, improving testing processes, updating documentation, and other measures to reduce technical debt. Regularly review and update the technical debt backlog to ensure that progress is being made and that technical debt is being effectively managed. By making technical debt transparent and actively managing it, you can help ensure the long-term health and sustainability of your product or service. Regenerate response

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6
Q

What is Automated Build?

A
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7
Q

Core system file

A

. core file is created in the current directory when various errors occur. Errors such as memory-address violations, illegal instructions, bus errors, and user-generated quit signals, commonly cause this core dump. The core file that is created contains a memory image of the terminated process.

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8
Q

Abstraction layer

A

What is an abstraction layer? The abstraction layer creates a separation between two things. For programming, this is often splitting tasks into separate entities. For example, an entity A might be assigned the task of fetching an image from a database and then processing the image when retrieved.

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9
Q

Compile time errors

A

These errors occur when we violate the rules present in a syntax. The compile-time error indicates something that we need to fix before compiling the code. A compiler can easily detect these errors.

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10
Q

Runtime error

A

A runtime error is a software or hardware problem that prevents Internet Explorer from working correctly

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11
Q

Configuration Management Control

A

Set up a configuration management system to manage the software’s configuration items, including code, database schemas, and system configurations. This control ensures proper version control, traceability, and the ability to revert to previous versions if needed.

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12
Q

Critical Path

A

Set up a configuration management system to manage the software’s configuration items, including code, database schemas, and system configurations. This control ensures proper version control, traceability, and the ability to revert to previous versions if needed.

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13
Q

Bootstrap

A

Der Begriff “Bootstrap” stammt von der Redewendung “sich am eigenen Schopf aus dem Sumpf ziehen”, was bedeutet, von einem minimalen oder anfänglichen Zustand aus zu starten und schrittweise ein komplexeres oder vollständigeres System aufzubauen.

Im Programmierkontext gibt es verschiedene Verwendungen des Begriffs “Bootstrap”, von denen jede eine spezifische Bedeutung hat:

Bootstrap-Prozess: Dies bezieht sich auf die anfängliche Startsequenz eines Computersystems oder einer Anwendung. Während des Bootstrap-Prozesses werden die wesentlichen Komponenten des Systems geladen, wie das Betriebssystem, Gerätetreiber und grundlegende Bibliotheken. Der Bootstrap-Prozess beginnt typischerweise, wenn ein Computer eingeschaltet wird oder eine Anwendung gestartet wird.

Bootstrap-Code: Bootstrap-Code ist ein kleiner Codeabschnitt, der für das Initiieren des Ladens und der Ausführung eines umfangreicheren Programms verantwortlich ist. Er befindet sich oft in einem separaten Abschnitt des Programms oder in einer spezialisierten Datei. Der Bootstrap-Code ist in der Regel einfach und eigenständig und dient dazu, die Ausführung des Hauptprogramms oder Frameworks anzustoßen.

Bootstrap-Frameworks: Bootstrap-Frameworks sind vorgefertigte Toolsets, Bibliotheken und Vorlagen, die eine Grundlage für die Entwicklung von Webanwendungen bieten. Sie sollen den Prozess des Erstellens von Benutzeroberflächen und Webseiten vereinfachen und beschleunigen, indem sie vorgefertigte Komponenten, Styles und Layout-Systeme bereitstellen. Das bekannteste Beispiel ist das Bootstrap-Framework, das von Twitter entwickelt wurde und eine Sammlung von CSS- und JavaScript-Komponenten bietet.

Bootstrapping in der Statistik: In der Statistik bezieht sich Bootstrapping auf eine Resampling-Technik, die zur Schätzung der Unsicherheit oder Stichprobenverteilung einer Statistik verwendet wird. Dabei werden zufällige Stichproben mit Zurücklegen aus dem ursprünglichen Datensatz gezogen, um mehrere resampelte Datensätze zu generieren. Diese resampelten Datensätze werden dann verwendet, um die Eigenschaften der interessierenden Statistik zu schätzen, wie zum Beispiel ihren Mittelwert, ihre Varianz oder Konfidenzintervalle.

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14
Q

https:// protocol benefits?

A

Security

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15
Q

The links you click on in your web browser are known as ____________________.

A

hyperlinks

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16
Q

Static Content

A

text and images

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17
Q

Dynamic Content

A

website content that is generated or updated in real-time based on various factors such as user input, database queries, or external data sources.

example: computed price or the list of items a customer has marked for purchase

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18
Q

Syntax

A

Syntax in computer code refers to the set of rules and structure that define the correct arrangement of symbols, keywords, and punctuation to form valid and meaningful instructions or statements in a programming language.

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19
Q

Element

A

In der Programmierung bezieht sich der Begriff “Element” auf eine grundlegende Einheit oder Komponente eines Codes. Es kann sich auf verschiedene Konzepte je nach Kontext beziehen:

HTML-Element: In der Webentwicklung bezieht sich ein HTML-Element auf eine einzelne Komponente innerhalb einer HTML-Datei. Es kann beispielsweise ein Textabsatz, ein Bild, ein Formularfeld oder ein Link sein. HTML-Elemente werden durch Tags definiert, die von spitzen Klammern (<>) umschlossen sind.

Array-Element: In vielen Programmiersprachen, wie beispielsweise JavaScript, C++, oder Python, bezieht sich ein Element auf einen einzelnen Wert innerhalb eines Arrays. Ein Array ist eine Datenstruktur, die eine geordnete Sammlung von Elementen enthält. Jedes Element im Array hat eine eindeutige Position, die durch einen Index angegeben wird. Der Zugriff auf ein Array-Element erfolgt normalerweise durch Angabe des Indexwertes.

DOM-Element: Im Zusammenhang mit der Webentwicklung steht das DOM-Element für ein Element im Document Object Model (DOM). Das DOM repräsentiert die Struktur einer HTML- oder XML-Seite als Baumstruktur. Ein DOM-Element entspricht dabei einem einzelnen Knoten im Baum und kann über JavaScript oder andere Skriptsprachen manipuliert werden, um die Inhalte und das Verhalten einer Webseite zu ändern.

Insgesamt bezieht sich der Begriff “Element” in der Programmierung auf eine grundlegende Einheit, sei es in Form eines HTML-Elements, eines Array-Elements oder eines DOM-Elements. Es ist wichtig, die spezifische Bedeutung in Bezug auf den Kontext zu verstehen, in dem der Begriff verwendet wird.

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20
Q

Motherboard (Hauptplatine)

A

Das Motherboard ist die zentrale Platine, die verschiedene Hardwarekomponenten eines Computers verbindet. Es enthält Steckplätze und Anschlüsse für die CPU (Prozessor), den Arbeitsspeicher (RAM), die Grafikkarte, Speichergeräte, Netzwerkverbindungen und andere Peripheriegeräte.

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21
Q

Automation in Devops

A

Automation plays a crucial role in DevOps, enabling the rapid and consistent delivery of software. It involves automating various tasks such as build and deployment processes, testing, infrastructure provisioning, and monitoring, reducing manual effort, and minimizing human errors.

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22
Q

Build and Compilation Automation

A

Automating the build and compilation process ensures that code changes are quickly integrated, compiled, and validated. This includes tasks such as fetching dependencies, compiling source code, running unit tests, and generating artifacts.

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23
Q

Continuous Integration (CI) Automation

A

CI involves automatically integrating code changes from multiple developers into a shared repository and running a series of automated tests to identify integration issues early. CI pipelines typically include steps for code compilation, unit testing, static code analysis, and other quality checks.

24
Q

Continuous Delivery/Deployment (CD) Automation

A

Automating the delivery and deployment processes enables organizations to rapidly and reliably release software. CD pipelines automate tasks such as packaging the application, provisioning and configuring the required infrastructure, deploying the application to various environments (development, staging, production), and performing integration, functional, and performance testing.

25
Q

Testing Automation

A

Automation is essential in testing processes to ensure the rapid execution of tests, improve test coverage, and provide quick feedback to developers. This includes automating unit tests, integration tests, regression tests, performance tests, and security tests. Test automation frameworks and tools assist in creating and executing automated test scripts.

26
Q

Configuration Management Automation

A

Automating configuration management involves treating infrastructure as code and using tools like Ansible, Puppet, or Chef to define and manage the configuration of servers, networks, and other resources. This ensures consistent and reproducible infrastructure setup and reduces manual configuration efforts.

27
Q

Deployment and Release Orchestration

A

Automating the deployment process helps streamline the release of software to various environments. Deployment automation tools allow for standardized and repeatable deployments, rollback mechanisms, and can coordinate complex deployment workflows involving multiple services and components.

28
Q

Monitoring and Logging

A

Automating monitoring and logging processes helps in the continuous collection, analysis, and visualization of application and infrastructure metrics, logs, and events. Automated monitoring tools can detect anomalies, trigger alerts, and provide insights into system performance, availability, and user experience.

29
Q

Key aspects of DevOps

Collaboration and Communication

A

DevOps emphasizes breaking down silos and fostering better collaboration and communication between developers, operations teams, and other stakeholders involved in the software delivery process. This helps in sharing knowledge, aligning objectives, and resolving issues more effectively.

30
Q

Devops key aspects: Continuous Integration and Continuous Delivery/Deployment (CI/CD):

A

DevOps promotes the frequent integration of code changes from multiple developers into a shared repository, ensuring early detection of issues and faster feedback. Continuous Delivery/Deployment focuses on automating the release and deployment processes to enable rapid and reliable software releases.

31
Q

Infrastructure as Code (IaC):

A

DevOps encourages treating infrastructure configuration as code, using tools and techniques to define and manage infrastructure resources programmatically. This approach ensures consistency, scalability, and repeatability in deploying and managing infrastructure.

32
Q

Monitoring and Feedback Devops

A

DevOps emphasizes continuous monitoring of applications and infrastructure in production, collecting and analyzing metrics, logs, and user feedback. This helps identify issues, measure performance, and make data-driven decisions for improvement.

33
Q

key aspects of end-to-end testing:

A

Scope: End-to-end testing covers the complete path of a user’s interaction with the system, from the initial input to the final output or outcome. It tests the system’s behavior, functionality, and performance across multiple components and subsystems.

Integration: End-to-end testing verifies the integration and interaction between various software components, modules, and external systems. It ensures that data and information flow smoothly between different parts of the system without any issues or inconsistencies.

Business Processes: End-to-end testing focuses on validating the system’s ability to support and execute the business processes it is designed for. It checks if the system can handle real-life scenarios and deliver the expected results according to the defined business rules and requirements.

Data Flow: It involves testing the movement of data throughout the system. This includes inputting data, processing it through different stages or modules, and verifying the correctness and integrity of the output data.

Environment Simulation: End-to-end testing aims to replicate a production-like environment as closely as possible. This includes using realistic test data, simulating user interactions, and considering various external factors that may impact the system’s behavior.

User Experience: End-to-end testing assesses the user experience from the perspective of an end user. It ensures that the system provides a smooth and seamless experience, with all components and functionality working together harmoniously.

Error Handling and Recovery: This type of testing also focuses on verifying error handling mechanisms, including error detection, logging, and recovery procedures. It checks if the system can gracefully handle exceptions, errors, or unexpected scenarios without compromising the overall functionality.

The goal of end-to-end testing is to identify any issues, bottlenecks, or defects that may arise when all the different parts of a system are integrated and functioning together. By validating the system’s behavior in a holistic manner, end-to-end testing helps ensure that the software meets the desired requirements, performs as expected, and provides a positive user experience.

34
Q

setting up and maintaining interfaces
desirable

A

Requirements Gathering: Begin by understanding the requirements for the interface. Work closely with stakeholders, such as users, business analysts, and system owners, to determine the specific needs and goals of the interface. Identify the systems or components that need to communicate with each other and define the desired functionality.

Design and Architecture: Based on the requirements, design the interface architecture. Determine the communication protocols, data formats, and integration patterns that will be used. Consider factors such as scalability, security, performance, and extensibility during the design phase. Create a detailed interface specification document that outlines the technical specifications and behavior of the interface.

Development and Implementation: Develop the interface according to the design specifications. This typically involves programming or configuring the necessary components, APIs, or middleware to enable communication between systems. Follow best practices for coding, testing, and version control to ensure the reliability and stability of the interface.

Testing and Validation: Conduct thorough testing of the interface to ensure its functionality, compatibility, and performance. Test different scenarios, error handling, and edge cases to validate the interface’s behavior. Collaborate with system owners and end-users to perform user acceptance testing (UAT) and gather feedback for improvements.

Deployment and Integration: Once the interface has been tested and validated, deploy it to the production environment. Coordinate with system administrators and relevant stakeholders to ensure a smooth integration of the interface into the existing IT infrastructure. Monitor the interface closely during the initial integration period to address any potential issues or performance bottlenecks.

Documentation and Maintenance: Document the interface, including its purpose, configuration, and dependencies, to ensure proper understanding and future maintenance. Establish a maintenance plan that includes regular monitoring, performance optimization, and updates to address any evolving requirements or technological changes. Maintain clear communication channels with stakeholders to address issues, provide support, and make necessary updates to the interface as needed.

Throughout the process, effective project management, communication, and collaboration are crucial. It is important to involve all relevant stakeholders, including IT teams, developers, system owners, and end-users, to ensure a successful interface setup and ongoing maintenance. Regularly review and improve the interface based on feedback and changing requirements to ensure its continued effectiveness.

35
Q

communication protocols

A

Communication protocols in IT refer to the set of rules and standards that govern how data is exchanged and transmitted between different systems, devices, or components within a networked environment. These protocols define the format, sequence, error handling, and authentication mechanisms necessary for successful communication. Here are some commonly used communication protocols in IT:

Transmission Control Protocol/Internet Protocol (TCP/IP): TCP/IP is the foundation protocol suite of the internet and is used for communication between devices over networks. TCP ensures reliable, ordered, and error-checked delivery of data packets, while IP handles the routing and addressing of those packets.

Hypertext Transfer Protocol (HTTP): HTTP is a protocol used for transmitting hypertext pages on the World Wide Web. It defines how web browsers and web servers communicate, allowing users to retrieve web pages, send data, and interact with web applications.

Simple Mail Transfer Protocol (SMTP): SMTP is a protocol used for sending and receiving email messages over the internet. It enables the transmission of email between mail servers and defines how email clients and servers communicate to deliver messages.

File Transfer Protocol (FTP): FTP is a standard network protocol used to transfer files between a client and a server on a computer network. It provides a way to upload, download, and manage files on remote servers.

Secure Shell (SSH): SSH is a cryptographic network protocol used for secure remote login and command execution over an unsecured network. It provides encrypted communication between a client and a server, ensuring data confidentiality and integrity.

Simple Network Management Protocol (SNMP): SNMP is an internet-standard protocol used for managing and monitoring network devices and systems. It enables the collection and exchange of information between network management systems and network devices.

Message Queuing Telemetry Transport (MQTT): MQTT is a lightweight messaging protocol designed for IoT (Internet of Things) devices with low bandwidth and power constraints. It enables efficient and reliable communication between IoT devices and servers, supporting real-time data exchange.

These are just a few examples of communication protocols commonly used in IT. The selection of a specific protocol depends on the requirements of the system, the nature of the communication, and the network infrastructure in use. Different protocols offer different features, security levels, and performance characteristics, so it is important to choose the appropriate protocol based on the specific needs of the communication scenario.

36
Q

What are IOT devices?

A

IoT devices, or Internet of Things devices, refer to physical objects or devices that are embedded with sensors, software, and connectivity capabilities to collect and exchange data over the internet. These devices are part of the broader concept of the Internet of Things, which encompasses the interconnection of everyday objects to enable communication and data sharing.

37
Q

(UAT)

A

User Acceptance Testing (UAT) is a critical phase in the software development lifecycle where end-users validate whether a system or application meets their requirements and expectations. Here are the key steps involved in conducting UAT:

Test Planning: Define the scope of UAT, including the features, functionalities, and scenarios that will be tested. Identify the target users who will participate in UAT and establish the test environment and test data needed. Develop a UAT test plan that outlines the objectives, approach, and test schedule.

Test Case Development: Create test cases or test scenarios that reflect real-world usage of the system. Test cases should cover various user workflows, input validation, boundary conditions, and any specific user requirements. Test cases should be documented clearly, including the steps to be executed and the expected results.

Test Execution: Conduct UAT by following the defined test cases. Users should perform tasks and workflows that represent their typical usage of the system. Users can record their findings, observations, and feedback during the testing process. Test execution should be well-documented to track issues and progress.

Defect Reporting: If any defects or issues are identified during UAT, users should report them in a structured manner. Defect reports should include a description of the issue, steps to reproduce, and any supporting materials like screenshots or log files. The defects should be prioritized based on their severity and impact on user experience.

Issue Resolution: Development teams should review the reported defects and work on resolving them. They may request additional information or clarification from users if needed. The fixed issues should be retested by users to ensure they have been resolved satisfactorily.

Test Completion and Sign-off: Once all test cases have been executed, and any reported issues have been addressed, the UAT phase concludes. Users and project stakeholders review the test results and determine if the system meets the acceptance criteria. Users provide their sign-off indicating their acceptance of the system or any outstanding concerns.

Key considerations for successful UAT include effective communication between development teams and users, clear test documentation, realistic test scenarios, and the involvement of representative end-users. UAT should be conducted in an environment similar to the production environment to ensure accuracy.

It’s important to note that UAT focuses on validating the system from the users’ perspective and confirming its readiness for production use. It complements other testing phases like unit testing, integration testing, and system testing, which focus on technical aspects of the system.

38
Q

Data Masking

A

is a data security technique used to protect sensitive information by replacing or obscuring real data with fictitious or scrambled data. Its purpose is to prevent unauthorized access to sensitive data while maintaining its usefulness for development, testing, or other non-production purposes.

39
Q

How do you build “test scripts?”

A

Test Scenario Identification: Identify the specific scenarios or functionalities that need to be tested. This is based on the requirements, specifications, or user stories for the software being developed.

Test Case Design: Create detailed test cases for each identified scenario. Test cases outline the specific steps to be executed, the expected results, and any test data or preconditions required.

Test Data Preparation: Prepare the necessary test data to execute the test cases. This may involve creating sample data, configuring test environments, or extracting data from existing systems.

Test Script Creation: Based on the test cases, create the test scripts using a suitable testing framework or tool. Test scripts are written in a programming language or a scripting language supported by the chosen testing tool.

Test Script Implementation: Implement the test steps and logic within the test script. This includes interacting with the software under test, performing actions, entering data, and validating results.

Parameterization and Data-Driven Testing: If applicable, parameterize the test scripts to allow for the reuse of test steps with different test data. Data-driven testing techniques can be employed to execute the same test script with multiple sets of data.

Test Script Enhancement: Enhance the test scripts with additional features like error handling, logging, reporting, and capturing screenshots or videos during test execution.

Test Script Execution: Execute the test scripts against the software or application being tested. This involves running the scripts, observing the execution, and comparing the actual results with the expected results.

Test Script Maintenance: Maintain and update the test scripts as needed. This includes revising scripts to accommodate changes in requirements, fixing any identified issues, or enhancing the scripts for better test coverage.

It’s important to note that the specific approach and tools used for building test scripts can vary depending on the testing framework, programming language, and testing methodology being employed.

40
Q

Productive Operations “produktiver Betrieb”

A

In IT, “productive operation” refers to the phase of a system or software’s life cycle where it is actively being used in a live or operational environment to support and deliver its intended functionality.

41
Q

Developing a cutover and roll-back plan:

A

Creating a detailed plan that outlines the steps and procedures for transitioning from the old system to the new system, as well as establishing a contingency plan in case of issues.

42
Q

User and stakeholder communication plan:

A

Formulating a plan to effectively communicate with users and stakeholders throughout the project, ensuring they are informed about changes, updates, and their roles.

43
Q

Service management plan (ITSM change processes):

A

Establishing a plan for managing IT service changes, including processes and procedures to ensure smooth transition and minimal disruption.

44
Q

Testing signoffs:

A

Obtaining formal approvals and signoffs from stakeholders and users after successful completion of testing activities to validate that the system meets the specified requirements.

45
Q

perational handover plan (including skills transfer required)

A

Developing a plan for transferring operational responsibilities from the project team to the support team, including any necessary training or knowledge transfer.

46
Q

Post-production support plan:

A

Creating a plan to provide ongoing support and maintenance of the system after it goes live, including procedures for issue resolution and system enhancements.

47
Q

Roll-back plan

A

Defining a plan to revert back to the previous system in case the new system encounters critical issues or failures.

48
Q

Data migration plan:

A

Outlining the strategy and processes for transferring data from the legacy system to the new system, ensuring data integrity and accuracy.

49
Q

Transaction processing black-out periods/embargoes:

A

Identifying specific periods during which certain transactional activities or system changes are restricted or halted to prevent data inconsistencies or errors.

50
Q

Legacy system sunset roadmap and decommissioning

A

Developing a roadmap for phasing out and retiring the old legacy system, including processes for data archiving, system decommissioning, and transitioning to the new system.

51
Q

Technical Issue: The expected delivery date is not displayed correctly in the customer engagement mobile app.

A

Likely Reasons:

Bug in the app’s code that is causing incorrect date calculations.
Data integration issues with the backend systems responsible for providing delivery date information.
Timezone or localization-related discrepancies.
Potential Resolution:

Conduct a thorough code review and debugging to identify and fix any issues in the app’s code.
Verify data flow and integration between the app and backend systems to ensure accurate delivery date retrieval.
Double-check timezone handling and localization settings to ensure consistent and accurate date representation.

52
Q

Technical Issue: The environmental impact field remains blank when a product is selected in the customer engagement mobile app.

A

Likely Reasons:

Data not being properly populated or retrieved from the database for the selected product’s environmental impact.
A misconfiguration or error in the app’s data retrieval and display mechanism.
Potential Resolution:

Review and adjust data retrieval queries or APIs to ensure the environmental impact information is correctly fetched and displayed for the selected product.
Validate the data source and ensure the database contains the necessary environmental impact data.

53
Q

Technical Issue: Generation of analytical sales trend reports across offices takes more time than agreed.

A

Likely Reasons:

The size of the data being processed is too large, leading to slow report generation.
Inefficient algorithms or data processing techniques used in the report generation module.
Suboptimal database indexing affecting report query performance.
Potential Resolution:

Optimize the report generation process by implementing more efficient algorithms and data processing techniques.
Conduct performance tuning on the database, including proper indexing and query optimization.
Consider using caching mechanisms or data aggregation to reduce the processing load and improve report generation speed.

54
Q

Technical Issue: Slow transaction processing in the sales system during month-end.

A

Likely Reasons:

Increased transaction volume during month-end leading to system overload.
Inefficient database queries or locking issues causing transaction processing delays.
Resource limitations, such as insufficient server capacity or network congestion.
Potential Resolution:

Scale up server capacity or allocate additional resources to handle the higher transaction load during month-end.
Optimize database queries and ensure proper indexing to speed up transaction processing.
Monitor the system during peak times and address any resource bottlenecks.

55
Q

Non-Technical Issue: Users are not utilizing the pre-filled template feature for frequently performed transactions.

A

Likely Reasons:

Lack of awareness or training regarding the existence and benefits of the pre-filled template feature.
Unintuitive or confusing user interface for accessing and using the feature.
Potential Resolution:

Conduct user training sessions or provide documentation highlighting the advantages of using the pre-filled template feature.
Improve the user interface to make it more intuitive and prominent, encouraging users to utilize the feature.