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NEW QUESTION: 1
Given the following Relationships Graph in a FileMaker 13 solution:
A layout is based on the table occurrence Class and a portal shows records from the table occurrence Employee.
If the field Trainer: : Name is placed into the portal, what is the result?
A. Each row shows the name of each enrolled employee's first related trainer.
B. The name of the first related trainer for the class is repeated in each row of the portal.
C. The text <Field Missing> is displayed in each row of the portal.
D. The name of the trainer for the first class enrolled by the first Employee record of the portal is repeated in each row of the portal.
Answer: B
NEW QUESTION: 2
注：この質問は、同じシナリオを提示する一連の質問の一部です。シリーズの各質問には、指定された目標を達成する可能性のある独自のソリューションが含まれています。一部の質問セットには複数の正しい解決策がある場合がありますが、他の質問セットには正しい解決策がない場合があります。
このセクションの質問に回答した後は、その質問に戻ることはできません。その結果、これらの質問はレビュー画面に表示されません。
履歴データに基づいて気象条件を予測するモデルを作成します。
データストアからデータを読み込み、処理されたデータを機械学習モデルのトレーニングスクリプトに渡すために、処理スクリプトを実行するパイプラインを作成する必要があります。
解決策：次のコードを実行します。
ソリューションは目標を達成していますか？
A. はい
B. いいえ
Answer: B
Explanation:
Note: Data used in pipeline can be produced by one step and consumed in another step by providing a PipelineData object as an output of one step and an input of one or more subsequent steps.
Compare with this example, the pipeline train step depends on the process_step_output output of the pipeline process step:
from azureml.pipeline.core import Pipeline, PipelineData
from azureml.pipeline.steps import PythonScriptStep
datastore = ws.get_default_datastore()
process_step_output = PipelineData("processed_data", datastore=datastore) process_step = PythonScriptStep(script_name="process.py", arguments=["--data_for_train", process_step_output], outputs=[process_step_output], compute_target=aml_compute, source_directory=process_directory) train_step = PythonScriptStep(script_name="train.py", arguments=["--data_for_train", process_step_output], inputs=[process_step_output], compute_target=aml_compute, source_directory=train_directory) pipeline = Pipeline(workspace=ws, steps=[process_step, train_step]) Reference:
https://docs.microsoft.com/en-us/python/api/azureml-pipeline-core/azureml.pipeline.core.pipelinedata?view=azure-ml-py
NEW QUESTION: 3
"Select count(*) from emptable where age > 40" selects
A. Gives the total count of all the employees in the table
B. The age of all the employees whose age > 40
C. Gives the total count of all the employees whose age > 40
D. All the age in the table "emptable"
Answer: C
NEW QUESTION: 4
According to the company requirements, a solution should be assigned to enable the accounting managers to review accounting changes. Which action should be performed?
A. Transactional replication should be set up to a new database named Accounting_Changes. And then, a job should be created to migrate all rows that have an inserted date that is longer than eight days.
B. A job should be created to create a database snapshot at close of business every Friday. And then, another job should be created to migrate snapshots that are longer than two weeks.
C. Snapshot replication should be set up to a new database named Accounting_Changes. And then, the snapshot should be scheduled to be sent at close of business every Friday.
D. A job should be created to create a database snapshot at close of business daily. And then, another job should be created to migrate snapshots that are longer than eight days.
Answer: D
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