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NEW QUESTION: 1
プラッガブルデータベース（PDB）の販売を含むマルチテナントコンテナデータベース（CDB）cdb1を複製する予定です。
どちらのステートメントが正しいのですか？ （2つを選択してください）
A. SALES PDBのみが非CDB CDBDUPとして複製されます。
B. 補助インスタンスは、初期化パラメータENABLE_PLUGGABLE_DATABASEをTRUEに設定して起動している必要があります。
C. コマンドの実行前にSALES PDBのバックアップが存在していなければなりません。
D. RMANは、コマンドの実行のためにリカバリ・カタログに接続する必要があります。
E. ルートデータベースとシードデータベースは複製に含まれています。
Answer: B,E
Explanation:
Explanation
D: When duplicating a whole CDB or one more PDBs:
You must create the auxiliary instance as a CDB. To do so, start the instance with the following declaration in the initialization parameter file:
enable_pluggable_database=TRUE
A: To duplicate PDBs, you must create the auxiliary instance as a CDB. To do so, start the instance with the declaration enable_pluggable_database=TRUE in the initialization parameter file. When you duplicate one or more PDBs, RMAN also duplicates the root (CDB$ROOT) and the seed database (PDB$SEED). The resulting duplicate database is a fully functional CDB that contains the root, the seed database, and the duplicated PDBs.
References: https://docs.oracle.com/database/121/BRADV/rcmdupdb.htm
NEW QUESTION: 2
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are using Azure Machine Learning Studio to perform feature engineering on a dataset.
You need to normalize values to produce a feature column grouped into bins.
Solution: Apply an Entropy Minimum Description Length (MDL) binning mode.
Does the solution meet the goal?
A. Yes
B. No
Answer: A
Explanation:
Entropy MDL binning mode: This method requires that you select the column you want to predict and the column or columns that you want to group into bins. It then makes a pass over the data and attempts to determine the number of bins that minimizes the entropy. In other words, it chooses a number of bins that allows the data column to best predict the target column. It then returns the bin number associated with each row of your data in a column named <colname>quantized.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/group-data-into-bins
NEW QUESTION: 3
In the "Secure Cloud" use case, which option is a primary benefit of the Cisco secure cloud solution?
A. telemetry data
B. advanced content filters
C. URL filtering
D. integrated security
E. intrusion prevention
Answer: C
NEW QUESTION: 4
フィールドデコレーションは、「ref_contributions」属性によって制御されます。
A. 偽
B. 本当
Answer: B