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NEW QUESTION: 1
Examine the statements:
SQL> CREATE TABLESPACE MYTBS DATAFILE '/disk1/mytbs_l.dbf ' SIZE 10M;
SQL> CREATE TABLE mytab (id NUMBER, descr VARCHAR2 (100) )
PARTITION BY RANGE(id) (
partition pi values loss than (100000) tablespacemytbs storage (initial lm),
partition p2 values less than (MAXVALUE) tablespacemytbs storage (initial 1m)
);
When inserting data, you get the error:
ORA-01688: unable to extend table SYS.MYTAB partition P2 by 128 in tablespace MYTBS
Which three operations would allow you to insert data without getting the error message?
A. Resize the existing data file:
SQL> ALTER DATABASE DATAFILE '/diskl/mytbs_l .dbf' RESIZE 20M;
E) Remove a data file:
SQL> ALTER TABLESPACE MYTBS DROP DATAFILE '/diskl/mytbs_l - dbf';
B. Add a data file:
SQL>ALTER TABLESPACE MYTBS ADD DATAFILE ' /disk1/mytbs_2 .dbf SIZE 10M;
C. Move a partition to another tablespace:
SQL> CREATE TABLESPACE ADDITIONAL_TBS DATAFILE '/disk1/additional_tbs_1 .dbf' SIZE
10M;
SQL> ALTER TABLE MYTAB MOVE PARTITION P2 TABLESPACE ADDlTIONAL_TBS;
D. Extend the logical volume by 10 MB where the data files are stored;
# lvextend -L+10M /diskl
Answer: A,B,D
NEW QUESTION: 2
While reviewing the IT infrastructure, an IS auditor notices that storage resources are continuously being added. The IS auditor should:
A. review the adequacy of offsite storage.
B. recommend the use of disk mirroring.
C. recommend the use of a compression algorithm.
D. review the capacity management process.
Answer: D
Explanation:
Explanation/Reference:
Explanation:
Capacity management is the planning and monitoring of computer resources to ensure that available IT resources are used efficiently and effectively. Business criticality must be considered before recommending a disk mirroring solution and offsite storage is unrelated to the problem. Though data compression may save disk space, it could affect system performance.
NEW QUESTION: 3
科学データを分析するWindowsベースのソリューションがあります。データのリアルタイム分析を実行するクラウドベースのソリューションを設計しています。
ソリューションの論理フローを設計する必要があります。
推奨する2つのアクションはどれですか？それぞれの正解はソリューションの一部を示しています。
注：それぞれの正しい選択には1ポイントの価値があります。
A. アプリケーションからAzure Event Hubインスタンスにデータを送信します。
B. アプリケーションからAzure Stream Analyticsジョブにデータを送信します。
C. クラウドでAzure Stream Analyticsジョブを使用します。 Azure Event Hubインスタンスからデータを入力し、Azure Data Lake Storageに出力するクエリを作成します。
D. エッジデバイスでAzure Stream Analyticsジョブを使用します。 Azure Data Factoryインスタンスからデータを入力し、Power BIに出力するクエリを作成します。
E. クラウドでAzure Stream Analyticsジョブを使用します。 Azure Event Hubインスタンスからデータを入力し、Power BIに出力するクエリを作成します。
F. アプリケーションからAzure Data Lake Storageにデータを送信します。
Answer: A,E
Explanation:
Stream Analytics has first-class integration with Azure data streams as inputs from three kinds of resources:
Azure Event Hubs
Azure IoT Hub
Azure Blob storage
References:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-define-inputs
NEW QUESTION: 4
Which statement regarding lot size procedures is correct?
A. If a make-to-order production strategy is in use, a lot for lot (exact) lot size is always determined for the corresponding procurement element.
B. The lot size quantity can be influenced using a minimum quantity and the rounding profile.
C. If a long-term lot size is in use, procurement is conducted with a long-term perspective.
D. The procurement quantity of a lot size procedure can be specified using a safety time period profile.
Answer: B