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Power Query Time Transformation Awesome Tricks | Power Query Tutorial

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10 questions
Show answers
  • Q1
    Which of the following is NOT likely an "Awesome Trick" covered in the video for Power Query time transformations?
    B. Formatting timestamps based on specific time zones
    C. Calculating the difference between timestamps in custom units (e.g., weeks)
    A. Splitting a single date-time column into separate date and time columns
    D. Adding a sequential number based on the order of timestamps
    30s
  • Q2
    When working with time transformations in Power Query, what is the WORST practice to handle missing time values?
    D. Creating a separate flag column to indicate missing values
    B. Replacing them with a standard default value (e.g., "00:00:00")
    C. Filling them down or up based on neighboring timestamps
    A. Leaving them blank
    30s
  • Q3
    How can you efficiently shift timestamps in Power Query to a different time zone?
    D. Creating a lookup table with conversion factors for different zones
    C. Leveraging Power Query's relative date/time functions with time zone consideration
    B. Using a dedicated "Change Time Zone" function
    A. Manually adjusting the time offset for each record
    30s
  • Q4
    For complex time-based calculations in Power Query, which approach is generally preferred for better maintainability and reusability?
    D. Relying on pre-built Power Query time intelligence functions
    B. Creating custom columns with time transformation logic
    A. Using lengthy formula expressions directly in the query steps
    C. Building reusable M functions encapsulating the time logic
    30s
  • Q5
    When extracting specific time components (e.g., hour, minute) from a date-time column, what is a potential challenge to consider?
    C. Inability to handle timestamps across different time zones
    B. Limited functionality of Power Query's time extraction tools
    D. Difficulties performing calculations on extracted time components
    A. Inconsistent date-time formatting in the source data
    30s
  • Q6
    The video likely discusses an "Awesome Trick" for handling situations where timestamps have mixed levels of detail (e.g., some with date and time, others only with date). Which of the following options is the LEAST likely solution?
    D. Leveraging Power Query's grouping functionalities to handle different time granularities
    C. Creating separate columns for date and time based on existing data patterns
    A. Using conditional logic to fill in missing time components based on available data
    B. Converting all timestamps to a consistent format with maximum detail
    30s
  • Q7
    When aiming for high performance in Power Query time transformations, which strategy is generally NOT recommended?
    A. Filtering unnecessary data before performing time-based calculations
    B. Working with smaller subsets of data during query development
    C. Caching frequently used time transformation steps within the query
    D. Applying complex time logic directly in the data source (if possible)
    30s
  • Q8
    According to the video title, these "Awesome Tricks" likely focus on what primary aspect of Power Query?
    D. Automating repetitive tasks within the Power Query Editor
    C. Optimizing performance of data refresh processes
    A. Data cleansing and filtering techniques
    B. Creating advanced visualizations for time-based data
    30s
  • Q9
    The video might showcase an "Awesome Trick" for comparing time data across different datasets in Power Query. Which of the following methods is the UNLIKELY approach to be covered?
    C. Calculating time deltas between corresponding timestamps in each dataset
    A. Identifying common date or time fields for comparison
    B. Merging datasets based on overlapping time ranges
    D. Standardizing time zones across all datasets before comparison
    30s
  • Q10
    Assuming the video covers advanced Power Query time transformations, which of the following functionalities is the LEAST likely to be a core concept?
    A. Understanding different date and time data types in Power Query
    D. Employing conditional formatting based on
    B. Leveraging M language for custom time manipulation logic
    C. Utilizing Power Query's time intelligence functions for date/time calculations
    30s

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