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PDPA - 2

Quiz by Support - BusinessPromoted .com

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20 questions
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  • Q1
    1. Which approach best ensures robust automation when working with both Python scripts and no-code/low-code platforms?
    Only creating ad-hoc solutions without any established workflow
    Relying on a single monolithic Python script without any modular structure
    Implementing modular designs so that each component (script or workflow) can be independently updated and tested
    Refusing to use version control and backup solutions
    60s
  • Q2
    2. When creating a Streamlit application for data-driven process automation, which advanced practice is most crucial to ensure optimal performance?
    Avoiding the use of Streamlit features like session state
    Caching frequently accessed data to reduce redundant computation
    Relying solely on front-end logic without any server-side optimization
    Storing all data in large global variables with no memoization
    60s
  • Q3
    3. In terms of API security, why might OAuth be preferred over basic HTTP authentication for integrating third-party services?
    OAuth uses only static tokens without any expiration date
    OAuth provides token-based access, reducing the need to store and transmit user credentials directly
    OAuth is incompatible with RESTful APIs and only works with SOAP
    Basic HTTP authentication provides stronger encryption mechanisms
    60s
  • Q4
    4. When troubleshooting API integrations that involve JSON and XML data formats, what advanced technique can help identify subtle data structure issues?
    Converting all data to CSV to sidestep JSON and XML complexities
    Using specialized schema validation tools (e.g., JSON Schema, XSD) to verify the data structure
    Avoiding any form of data validation, trusting the default parsing
    Only relying on manual inspection of the data in a text editor
    60s
  • Q5
    5. A developer is tasked with optimizing a Python script that interacts with a no-code workflow. Which of the following best demonstrates advanced debugging practices?
    Only using print statements at every line of code to see where it slows down
    Relying on random guesswork to fix performance issues
    Increasing CPU resources without investigating the root causes
    Profiling the script to identify performance bottlenecks, then refactoring to improve efficiency
    60s
  • Q6
    6. How can advanced Python error handling strategies support better reliability in no-code/low-code automation?
    By using granular exception handling (try/except) blocks and logging to gracefully recover from unexpected conditions
    By creating custom exceptions that never get raised
    By completely avoiding exceptions and letting the application crash
    By placing one broad try/except around the entire code, swallowing all errors
    60s
  • Q7
    7. What is an advanced method to maintain data integrity when building API integrations that connect multiple business systems?
    Using no validation or error handling at all
    Implementing two-phase commits or transactional guarantees where possible, and validating responses from each service
    Only relying on the success status of the final request in the workflow
    Updating all connected systems simultaneously without any rollback procedure
    60s
  • Q8
    8. In a scenario where multiple no-code/low-code platforms (e.g., Zoho Creator, OutSystems) need to share a single Python backend, which approach best handles scalability?
    Using ad-hoc file sharing instead of RESTful communication
    Hosting the backend on a single local machine without any load balancing
    Structuring the backend as a RESTful microservice that can scale horizontally (e.g., via containers or cloud services)
    Disabling concurrency to force requests to run one at a time
    60s
  • Q9
    9. When documenting technical solutions for future reference, which advanced documentation practice is most beneficial for large-scale process automation?
    Relying solely on memory and not writing any documentation
    Writing minimal notes on Post-it® and distributing them informally
    Storing all documentation in multiple disconnected spreadsheets
    Creating living documentation, such as auto-generated references from code comments and version-controlled design docs
    60s
  • Q10
    10. Why is a strong understanding of RESTful APIs essential for a Python and no-code/low-code developer, beyond simple GET/POST requests?
    Because most no-code platforms only support SOAP, not REST
    Because RESTful APIs require extensive knowledge of hardware virtualization
    Because RESTful APIs are irrelevant to Python and no-code workflows
    Because advanced REST concepts (like HATEOAS, pagination, and versioning) are often needed for complex integrations
    60s
  • Q11
    11. In creating process automation solutions, why might a developer integrate AI tools (e.g., ChatGPT) into their workflow at an advanced level?
    To bypass all no-code platform constraints through undocumented APIs
    To generate or refine code snippets, provide guidance on troubleshooting, and speed up solution prototyping
    To handle all version control tasks automatically without human intervention
    To completely replace the role of the developer in building automation
    60s
  • Q12
    12. Which advanced consideration is critical when using Python scripts to handle data exchange via JSON with no-code platforms?
    Ensuring proper encoding/decoding and verifying field structures against expected schemas
    Converting all JSON structures into CSV for every step of the automation
    Avoiding any checks on data validity, relying entirely on the no-code platform
    Only processing JSON by manually parsing strings with basic methods
    60s
  • Q13
    13. When using multiple no-code/low-code platforms in a single automation pipeline, which advanced best practice helps maintain consistency across different environments?
    Not using staging or testing environments before going live
    Establishing a well-documented interface contract (API specification) and versioning for each interaction
    Mixing old and new versions of automation flows without any version control
    Hard-coding all credentials and endpoints in each workflow
    60s
  • Q14
    14. For advanced debugging of concurrent Python processes that support automation tasks, which approach is most beneficial?
    Utilizing specialized tools like Python’s multiprocessing or threading debugging utilities, and employing concurrency-safe data structures
    Relying solely on single-threaded logic and ignoring concurrency challenges
    Logging concurrency issues after they cause data corruption
    Restricting all scripts to run sequentially, thereby eliminating concurrency altogether
    60s
  • Q15
    15. In advanced scenarios, how can a developer best ensure secure handling of OAuth tokens within Python scripts and no-code workflows?
    Sending tokens via email to team members for convenience
    Printing token values in the logs for easier debugging
    Storing tokens in encrypted storage solutions or environment variables, never hard-coding them in the source
    Embedding tokens in plain text directly in the source code
    60s

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