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Welcome to the free practice questions for the EGMP2201B upgrade exam for Enterprise Geodata Management Professional 2201. These questions were hand written with the purpose of complimenting your study material and helping you study for the real exam.

The test is comprised of 15 questions which are randomly selected from a collection of over a hundred. There is no forced time limit but the simulator will keep track of the overall time taken and your final score. For most questions, there are helpful explanations underneath the correct answer, to help you understand the right choice and to learn from any mistakes.

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15 questions
Timed test (no limit)
Helpful explanations


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NEW QUESTION: 1
Your Azure Machine Learning workspace has a dataset named real_estate_dat a. A sample of the data in the dataset follows.

You want to use automated machine learning to find the best regression model for predicting the price column.
You need to configure an automated machine learning experiment using the Azure Machine Learning SDK.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
Box 1: training_data
The training data to be used within the experiment. It should contain both training features and a label column (optionally a sample weights column). If training_data is specified, then the label_column_name parameter must also be specified.
Box 2: validation_data
Provide validation data: In this case, you can either start with a single data file and split it into training and validation sets or you can provide a separate data file for the validation set. Either way, the validation_data parameter in your AutoMLConfig object assigns which data to use as your validation set.
Example, the following code example explicitly defines which portion of the provided data in dataset to use for training and validation.
dataset = Dataset.Tabular.from_delimited_files(data)
training_data, validation_data = dataset.random_split(percentage=0.8, seed=1) automl_config = AutoMLConfig(compute_target = aml_remote_compute, task = 'classification', primary_metric = 'AUC_weighted', training_data = training_data, validation_data = validation_data, label_column_name = 'Class' ) Box 3: label_column_name label_column_name:
The name of the label column. If the input data is from a pandas.DataFrame which doesn't have column names, column indices can be used instead, expressed as integers.
This parameter is applicable to training_data and validation_data parameters.
Incorrect Answers:
X: The training features to use when fitting pipelines during an experiment. This setting is being deprecated. Please use training_data and label_column_name instead.
Y: The training labels to use when fitting pipelines during an experiment. This is the value your model will predict. This setting is being deprecated. Please use training_data and label_column_name instead.
X_valid: Validation features to use when fitting pipelines during an experiment.
If specified, then y_valid or sample_weight_valid must also be specified.
Y_valid: Validation labels to use when fitting pipelines during an experiment.
Both X_valid and y_valid must be specified together.
exclude_nan_labels: Whether to exclude rows with NaN values in the label. The default is True.
y_max: y_max (float)
Maximum value of y for a regression experiment. The combination of y_min and y_max are used to normalize test set metrics based on the input data range. If not specified, the maximum value is inferred from the data.
Reference:
https://docs.microsoft.com/en-us/python/api/azureml-train-automl-client/azureml.train.automl.automlconfig.automlconfig?view=azure-ml-py

NEW QUESTION: 2
If you needed to replicate flow from a router and forward it in its native format to additional flow collectors, which Cascade device would you use?
A. Sensor
B. Shark
C. Gateway-VE
D. Gateway
E. Express
Answer: D

NEW QUESTION: 3
以下の各ステートメントについて、ステートメントが真である場合は「はい」を選択します。それ以外の場合は、「いいえ」を選択します。
注:それぞれの正しい選択には1ポイントの価値があります。

Answer:
Explanation:

Reference:
https://docs.microsoft.com/en-us/azure/information-protection/what-is-information-protection



Upgrade path


SQL Server 2016 - MCSA Upgrade Path

 

Topics Covered in EGMP2201B


As with all upgrades, this exam encompases all of the exam material from the individual Enterprise Geodata Management Professional 2201 exams. The three core areas covered are: Enterprise Geodata Management Professional 2201.

A taster of the new features are mentioned above. Many of these topics are tested on the official exam as well as in this practice test.

No Braindumps!


As always, I like to stress that this site does not contain braindumps, EXE files or any other kind of dumps. These are unique handwritten questions, based on the official guidelines from Esri.

It is always better to study for your exam rather than cheat your way through it. You’ll feel better and above all else - you’ll be smarter for it!!

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