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Power BIbi_tool~10 mins

Scheduled data refresh in Power BI - Interactive Code Practice

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Practice - 5 Tasks
Answer the questions below
1fill in blank
easy

Complete the code to set the refresh frequency to daily in Power BI service.

Power BI
Refresh settings frequency = "[1]"
Drag options to blanks, or click blank then click option'
Ahourly
Bweekly
Cmonthly
Ddaily
Attempts:
3 left
💡 Hint
Common Mistakes
Choosing 'weekly' when daily updates are needed.
Using 'hourly' which may not be supported in all Power BI plans.
2fill in blank
medium

Complete the code to specify the time zone for scheduled refresh to UTC.

Power BI
Time zone setting = "[1]"
Drag options to blanks, or click blank then click option'
APST
BUTC
CEST
DCET
Attempts:
3 left
💡 Hint
Common Mistakes
Selecting a local time zone instead of UTC.
Confusing EST with UTC.
3fill in blank
hard

Fix the error in the refresh schedule expression to enable refresh only on weekdays.

Power BI
Refresh days = [1]
Drag options to blanks, or click blank then click option'
A["Monday", "Tuesday", "Wednesday", "Thursday", "Friday"]
B["Saturday", "Sunday"]
C["Monday", "Sunday"]
D["Friday", "Saturday"]
Attempts:
3 left
💡 Hint
Common Mistakes
Including weekend days in the refresh schedule.
Selecting only one weekday.
4fill in blank
hard

Fill both blanks to configure the refresh start time and frequency correctly.

Power BI
Refresh configuration = {"start_time": "[1]", "frequency": "[2]"}
Drag options to blanks, or click blank then click option'
A02:00
Bdaily
Cweekly
D15:00
Attempts:
3 left
💡 Hint
Common Mistakes
Setting start time in the afternoon when early morning is preferred.
Choosing weekly frequency when daily is needed.
5fill in blank
hard

Fill all three blanks to create a refresh policy with start time, frequency, and retry count.

Power BI
Refresh policy = {"start_time": "[1]", "frequency": "[2]", "retry_count": [3]
Drag options to blanks, or click blank then click option'
A03:30
Bdaily
C3
Dweekly
Attempts:
3 left
💡 Hint
Common Mistakes
Using weekly frequency when daily is required.
Setting retry count too high or zero.

Practice

(1/5)
1. What is the main purpose of scheduled data refresh in Power BI?
easy
A. To create new reports from scratch
B. To manually refresh data only when the user clicks refresh
C. To automatically update reports with the latest data at set times
D. To delete old data from the dataset

Solution

  1. Step 1: Understand scheduled refresh concept

    Scheduled data refresh means Power BI updates data automatically without manual action.
  2. Step 2: Identify the purpose in Power BI context

    This automatic update keeps reports current by refreshing data at set times.
  3. Final Answer:

    To automatically update reports with the latest data at set times -> Option C
  4. Quick Check:

    Scheduled refresh = automatic update [OK]
Hint: Scheduled refresh means automatic updates, not manual [OK]
Common Mistakes:
  • Confusing scheduled refresh with manual refresh
  • Thinking it creates new reports
  • Assuming it deletes data
2. Which of the following is the correct place to set the scheduled refresh frequency in Power BI?
easy
A. In Power BI Service under Dataset settings
B. In Power BI Desktop under File > Options
C. In the data source system outside Power BI
D. In the Power BI mobile app settings

Solution

  1. Step 1: Identify where refresh settings are configured

    Scheduled refresh frequency is set in Power BI Service, not Desktop or mobile app.
  2. Step 2: Locate the exact setting

    It is found under Dataset settings in Power BI Service where you configure refresh times.
  3. Final Answer:

    In Power BI Service under Dataset settings -> Option A
  4. Quick Check:

    Refresh frequency set in Service Dataset settings [OK]
Hint: Set refresh schedule in Power BI Service, not Desktop [OK]
Common Mistakes:
  • Trying to set refresh in Power BI Desktop
  • Looking in mobile app settings
  • Assuming data source controls refresh schedule
3. Consider this scenario: You set a scheduled refresh for your dataset at 2 AM daily. The data source requires a gateway. What will happen if the gateway is offline at 2 AM?
medium
A. The refresh will succeed using cached data
B. The refresh will run but only partially update data
C. Power BI will automatically switch to a backup gateway
D. The refresh will fail and the dataset will not update

Solution

  1. Step 1: Understand gateway role in scheduled refresh

    Gateway connects Power BI Service to on-premises data sources for refresh.
  2. Step 2: Analyze effect of gateway being offline

    If gateway is offline, Power BI cannot access data source, so refresh fails and no update occurs.
  3. Final Answer:

    The refresh will fail and the dataset will not update -> Option D
  4. Quick Check:

    Offline gateway causes refresh failure [OK]
Hint: Gateway offline means refresh fails, no update [OK]
Common Mistakes:
  • Assuming refresh uses cached data when gateway is offline
  • Thinking Power BI auto-switches gateways
  • Believing partial data updates happen
4. You configured scheduled refresh but it never runs. Which of the following is the most likely cause?
medium
A. The dataset credentials are invalid or expired
B. The report visuals are not published
C. The Power BI Desktop file is open on your computer
D. The refresh frequency is set to every 5 minutes

Solution

  1. Step 1: Check prerequisites for scheduled refresh

    Valid credentials are required for Power BI Service to access data source during refresh.
  2. Step 2: Identify why refresh might not run

    If credentials are invalid or expired, refresh cannot authenticate and will not run.
  3. Final Answer:

    The dataset credentials are invalid or expired -> Option A
  4. Quick Check:

    Invalid credentials block refresh [OK]
Hint: Always verify dataset credentials for refresh to work [OK]
Common Mistakes:
  • Thinking open Desktop file blocks refresh
  • Assuming report visuals affect refresh
  • Believing refresh frequency too fast causes failure
5. You want to schedule a data refresh for a dataset connected to multiple data sources, some on-premises and some cloud-based. What is the best approach to ensure all data refreshes successfully?
hard
A. Only schedule refresh for cloud sources and refresh on-premises data manually
B. Use a gateway for on-premises sources and configure credentials for cloud sources in Power BI Service
C. Install multiple gateways, one for each data source type, and schedule refresh separately
D. Combine all data sources into one cloud source to avoid using gateways

Solution

  1. Step 1: Understand gateway use for on-premises data

    On-premises data requires a gateway to connect Power BI Service to local data sources.
  2. Step 2: Configure cloud data sources separately

    Cloud data sources do not need a gateway but require proper credentials set in Power BI Service.
  3. Step 3: Combine both configurations for full refresh

    Using a gateway for on-premises and credentials for cloud sources ensures all data refreshes automatically.
  4. Final Answer:

    Use a gateway for on-premises sources and configure credentials for cloud sources in Power BI Service -> Option B
  5. Quick Check:

    Gateway + credentials = full scheduled refresh [OK]
Hint: Gateway for on-premises, credentials for cloud sources [OK]
Common Mistakes:
  • Ignoring gateway for on-premises data
  • Trying to refresh all sources manually
  • Assuming one gateway covers cloud sources
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10 questions~5 mineasy hard