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NEW QUESTION 37
You are optimizing a dataflow in a Power Bl Premium capacity. The dataflow performs multiple joins. You need to reduce the load time of the dataflow.
Which two actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
Answer: B,C
Explanation:
Using the compute engine to improve performance
Take the following steps to enable workloads trigger the compute engine, and always improve performance:
For computed and linked entities in the same workspace:
Ensure you perform the operations that fold, such as merges, joins, conversion, and others.
For ingestion focus on getting the data into the storage as fast as possible, using filters only if they reduce the overall dataset size. It's best practice to keep your transformation logic separate from this step, and allow the engine to focus on the initial gathering of ingredients. Next, separate your transformation and business logic into a separate dataflow in the same workspace, using linked or computed entities; doing so allows for the engine to activate and accelerate your computations. In our analogy, it's like food preparation in the kitchen: food preparation is typically a separate and distinct step from gathering your raw ingredients, and a pre-requisite for putting the food in the oven. Similarly, your logic needs to be prepared separately before it can take advantage of the compute engine.
NEW QUESTION 38
You are creating a Python visual in Power Bl Desktop.
You need to retrieve the value of a column named Unit Price from a DataFrame.
How should you reference the Unit Price column in the Python code?
Answer: B
NEW QUESTION 39
You have a Power Bl dataset that contains two tables named Table1 and Table2. The dataset is used by one
report.
You need to prevent project managers from accessing the data in two columns in Table1 named Budget and
Forecast.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of
actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
NEW QUESTION 40
You have an Azure Synapse Analytics dataset that contains data about jet engine performance. You need to score the dataset to identify the likelihood of an engine failure. Which function should you use in the query?
Answer: C
NEW QUESTION 41
You have the following code in an Azure Synapse notebook.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the code.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Reference:
https://matplotlib.org/stable/gallery/lines_bars_and_markers/bar_stacked.html
https://matplotlib.org/stable/api/legend_api.html
NEW QUESTION 42
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