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NEW QUESTION: 1
Which type of account needs to be set up to create a Cisco TelePresence soft client (such as Cisco Jabber or Movi) user if you are using the Cisco TelePresence VCS Expressway Starter Pack?
A. an LDAP FindMe account on Active Directory
B. a local admin account on the Cisco VCS
C. a local FindMe account on the Cisco VCS
D. an LDAP user account on Active Directory
Answer: C

NEW QUESTION: 2
ネットワークには、adatum.comとpriv.adatum.comという名前の2つのActive Directoryフォレストがあります。
Microsoft Identity Manager（MIM）2016をpriv.adatum.comドメインに展開し、特権アクセス管理（PAM）を実装します。
次の図に示すように、Group1という名前のPAMロールを作成します。

ドロップダウンメニューを使用して、グラフィックに表示されている情報に基づいて各ステートメントを完成させる回答の選択肢を選択します。

Answer:
Explanation:
Explanation

References: https://tlktechidentitythoughts.wordpress.com/2016/09/07/mim-2016-setting-up-privileged-access-m

NEW QUESTION: 3
プロジェクトの初期にインストールされた製品のサイズが正しくない計画された生産停止中に製品を交換するための変更が承認されましたが、停止日が早すぎて新製品を調達できませんでした。代わりに、チームは社内で見つかった改訂製品をインストールします。低コストで。
プロジェクトマネージャーは何をすべきですか？
A. 変更リクエストを送信して、クライアントの仕様を満たす製品と交換します
B. 製品を維持または交換することの利点と影響についてクライアントにアドバイスし、へこみの決定を文書化します
C. 改訂された製品への変更と変更管理プロセスごとのコストを文書化します
D. チームを集めて、合意された変更管理プロセスを強化し、将来同様の変更が発生しないようにします。
Answer: A

NEW QUESTION: 4
近くの気象観測所からデータを収集します。次のデータを含むweather_dfという名前のパンダデータフレームがあります。

データは正午と深夜の12時間ごとに収集されます。
自動機械学習を使用して、今後7日間の気温を予測する時系列モデルを作成することを計画しています。トレーニングの最初のラウンドでは、最大50の異なるモデルをトレーニングする必要があります。
Azure Machine Learning SDKを使用して自動機械学習実験を実行し、これらのモデルをトレーニングする必要があります。
自動機械学習の実行を構成する必要があります。
AutoMLConfig定義をどのように完了する必要がありますか？回答するには、回答領域で適切なオプションを選択します。
注：正しい選択はそれぞれ1ポイントの価値があります。


Answer:
Explanation:

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