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NEW QUESTION: 1
DRAG DROP
You use Microsoft SQL Server to develop a database.
You need to create a query that displays a list of all customers and related orders. The query must display customers that have no related orders. If the last order for a customer was within the last 30 days, the query must return the most recent OrderDate for the customer.
Which four Transact-SQL statements should you use in sequence? To answer, move the appropriate Transact-SQL statements from the list of statements to the answer area and arrange them in the correct order.
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Answer:
Explanation:
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NEW QUESTION: 2
A form is used to capture prospect data for a yearly conference. The form needs to add prospects to a list after
the submit, but it should not retroactively apply actions to prospects that have already filled out the form.
What automation tool would effectively achieve this goal?
A. Use a segmentation rule to add prospects to a list
B. Use an automation rule to add prospects to a list
C. Use a completion action to add prospects to a list
D. Use a dynamic list to add prospects to a list
Answer: C

NEW QUESTION: 3
You collect data from a nearby weather station. You have a pandas dataframe named weather_df that includes the following data:
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The data is collected every 12 hours: noon and midnight.
You plan to use automated machine learning to create a time-series model that predicts temperature over the next seven days. For the initial round of training, you want to train a maximum of 50 different models.
You must use the Azure Machine Learning SDK to run an automated machine learning experiment to train these models.
You need to configure the automated machine learning run.
How should you complete the AutoMLConfig definition? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
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Answer:
Explanation:
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Explanation:
Box 1: forcasting
Task: The type of task to run. Values can be 'classification', 'regression', or 'forecasting' depending on the type of automated ML problem to solve.
Box 2: temperature
The training data to be used within the experiment. It should contain both training features and a label column (optionally a sample weights column).
Box 3: observation_time
time_column_name: The name of the time column. This parameter is required when forecasting to specify the datetime column in the input data used for building the time series and inferring its frequency. This setting is being deprecated. Please use forecasting_parameters instead.
Box 4: 7
"predicts temperature over the next seven days"
max_horizon: The desired maximum forecast horizon in units of time-series frequency. The default value is 1.
Units are based on the time interval of your training data, e.g., monthly, weekly that the forecaster should predict out. When task type is forecasting, this parameter is required.
Box 5: 50
"For the initial round of training, you want to train a maximum of 50 different models." Iterations: The total number of different algorithm and parameter combinations to test during an automated ML experiment.
Reference:
https://docs.microsoft.com/en-us/python/api/azureml-train-automl-client/azureml.train.automl.automlconfig.automlconfig

NEW QUESTION: 4
You are developing an Azure Function App by using Visual Studio. The app will process orders input by an Azure Web App. The web app places the order information into Azure Queue Storage.
You need to review the Azure Function App code shown below.
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NOTE: Each correct selection is worth one point.
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Explanation:
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Explanation
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Box 1: No
ExpirationTime - The time that the message expires.
InsertionTime - The time that the message was added to the queue.
Box 2: Yes
maxDequeueCount - The number of times to try processing a message before moving it to the poison queue.
Default value is 5.
Box 3: Yes
When there are multiple queue messages waiting, the queue trigger retrieves a batch of messages and invokes function instances concurrently to process them. By default, the batch size is 16. When the number being processed gets down to 8, the runtime gets another batch and starts processing those messages. So the maximum number of concurrent messages being processed per function on one virtual machine (VM) is 24.
Box 4: Yes
References:
https://docs.microsoft.com/en-us/azure/azure-functions/functions-bindings-storage-queue


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