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NEW QUESTION: 1
Which of the following acts requires federal contractors or subcontractors with contracts of $25,000 or more to list all nonsenior management job openings with state employment agencies?
A. The Vietnam Era Veterans' Readjustment Assistance Act of 1974
B. The Rehabilitation Act of 1973
C. Executive Order 11375
D. Executive Order 11246
Answer: A
Explanation:
Explanation/Reference:
Answer option B is correct.
State employment agencies are required under VEVRAA to give priority to Vietnam-era veterans when providing referrals to job openings. The act further requires that contractors and subcontractors meeting certain criteria list all job openings with these same state agencies. The Rehabilitation Act of 1973 prohibits discrimination against veterans of the US armed services, and the executive orders prohibit discrimination in employment by federal contractors, sub-contractors and the government.
Chapter: Workforce Planning and Employment
Objective: Review Questions
NEW QUESTION: 2
CSVファイルのセットには販売レコードが含まれています。すべてのCSVファイルは同じデータスキーマを持っています。
各CSVファイルには、特定の月の販売レコードが含まれ、ファイル名はsales.csvです。各ファイルは、データが記録された月と年を示すフォルダーに保存されます。フォルダーは、Azure MachineLearningワークスペースでデータストアが定義されているAzureBLOBコンテナー内にあります。フォルダーは、salesという名前の親フォルダーに編成され、次の階層構造を作成します。
月末に、その月のsalesファイルを含む新しいフォルダーがsalesフォルダーに追加されます。
販売データを使用して、次の要件に基づいて機械学習モデルをトレーニングすることを計画しています。
*これまでのすべての販売データを、データフレームに簡単に変換できる構造にロードするデータセットを定義する必要があります。
*特定の前月より前に作成されたデータのみを使用し、その月以降に追加されたデータを無視する実験を作成できる必要があります。
*可能な限り最小数のデータセットを登録する必要があります。
Azure MachineLearningサービスワークスペースに販売データをデータセットとして登録する必要があります。
あなたは何をするべきか？
A. データストアを参照し、毎月各 'sales / mm-yyyy /sales.csv'ファイルを明示的に指定する新しい表形式のデータセットを作成します。毎月sales_dataset_MM-YYYYという名前のデータセットを、月と年に適切なMM値とYYYY値で登録します。実験には、適切な月固有のデータセットを使用してください。
B. データストアを参照し、毎月各 'sales / mm-yyyy /sales.csv'ファイルを明示的に指定する表形式のデータセットを作成します。毎月sales_datasetという名前でデータセットを登録し、既存のデータセットを置き換えて、登録された月と年を示すmonthという名前のタグを指定します。このデータセットをすべての実験に使用します。
C. データストアを参照し、パス 'sales / * / sales.csv'を指定する表形式のデータセットを作成し、sales_datasetという名前と、登録された月と年を示すmonthという名前のタグでデータセットを登録します。これを使用します。すべての実験のデータセット。
D. データストアを参照し、各 'sales / mm-yyyy /sales.csv'ファイルを明示的に指定する表形式のデータセットを作成します。データセットを毎月の名前で新しいバージョンとして登録し、月という名前のタグで登録した月と年を示します。このデータセットをすべての実験に使用し、に基づいて使用するバージョンを特定します。
Answer: C
Explanation:
Explanation
Specify the path.
Example:
The following code gets the workspace existing workspace and the desired datastore by name. And then passes the datastore and file locations to the path parameter to create a new TabularDataset, weather_ds.
from azureml.core import Workspace, Datastore, Dataset
datastore_name = 'your datastore name'
# get existing workspace
workspace = Workspace.from_config()
# retrieve an existing datastore in the workspace by name
datastore = Datastore.get(workspace, datastore_name)
# create a TabularDataset from 3 file paths in datastore
datastore_paths = [(datastore, 'weather/2018/11.csv'),
(datastore, 'weather/2018/12.csv'),
(datastore, 'weather/2019/*.csv')]
weather_ds = Dataset.Tabular.from_delimited_files(path=datastore_paths)
NEW QUESTION: 3
Which of the following are the specific rules for equipment layout?
A. Reserve appropriate distances between equipment.
B. Efficiently utilize equipment room space.
C. Ensure easy equipment maintenance.
D. Lay out equipment in the inside-out sequence.
Answer: B,C
NEW QUESTION: 4
The following is part of a log file taken from the machine on the network with the IP address of
192.168.1.106:
What type of activity has been logged?
A. Port scan targeting 192.168.1.103
B. Teardrop attack targeting 192.168.1.106
C. Denial of service attack targeting 192.168.1.103
D. Port scan targeting 192.168.1.106
Answer: D