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NEW QUESTION: 1
自動化された保守タスクに関して、どの3つのステートメントが当てはまるか?
A. Oracle Schedulerジョブは、メンテナンス・ウィンドウで実行するようにスケジュールされている各メンテナンス・タスクごとに作成されます。
B. 定義されたすべての保守タスクが完了するまで、保守ウィンドウが自動的に延長されます。
C. すべてのタスクの実行履歴を格納するために、SYSTEM表領域にリポジトリが維持されます。
D. これらは、低いシステム負荷の期間中に発生する予定の所定の時間間隔で動作する。
E. 事前定義された保守タスクは、自動オプティマイザ統計収集、自動セグメント・アドバイザの実行、および自動SQLチューニング・アドバイザの実行で構成されます。
Answer: A,D,E
NEW QUESTION: 2
CORRECT TEXT
A sandwich shop offers customers a book of coupons that will allow them to purchase 8 sandwiches for $2 each after purchasing 10 sandwiches at the regular price of $6 each.
What is the total amount, in dollars, that a customer would pay for purchasing all 18 sandwiches with this offer?
Answer:
Explanation:
76dollars
NEW QUESTION: 3
Ein Techniker muss eine Cloud-Lösung mit den folgenden Parametern erstellen:
* Vorhersehbare Kosten
* Einfache Erweiterung der Ressourcen
* Fähigkeit, jeden Aspekt der Umgebung zu kontrollieren
Welche der folgenden Lösungen wäre die BESTE für den Techniker?
A. Hybrid Cloud
B. Plattform als Service
C. Hardware als Service
D. Software als Dienstleistung
Answer: C
NEW QUESTION: 4
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 have a data warehouse that stores sales data. One fact table has 100 million rows.
You must reduce storage needs for the data warehouse.
You need to implement a solution that uses column-based storage and provides real-time analytics for the
operational workload.
Solution: You remove any clustered indexes and load the table for processing.
Does the solution meet the goal?
A. Yes
B. No
Answer: B
Explanation:
Explanation/Reference:
Explanation:
You should use a column-store index
References:
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-tables-overview