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NEW QUESTION: 1
A customer has just signed the order for a new TS3500 Tape Library.
What document should be used to guide the business partner to verify the environment?
A. TS3500 Redbook
B. TS3500 User Guide
C. Solution Assurance Product Review (SAPR) guide
D. TS3500 Product Installation and Planning guide
Answer: C
NEW QUESTION: 2
次のコマンドを実行して、データベースの保証された復元ポイントを作成します。
SQL> CREATE RESTORE POINT dbrsp1 GUARANTEE FLASHBACK DATABASE;
このコマンドを正常に実行するための2つの前提条件を特定します。 （2つ選択してください。）
A. 高速リカバリ領域を有効にする必要があります。
B. 保存保証の取り消しを有効にする必要があります
C. ごみ箱はデータベースに対して有効にする必要があります。
D. データベースのバックアップを作成する必要があります。
E. データベースはARCHIVELOGモードで実行されている必要があります。
F. フラッシュバックデータベースを有効にする必要があります。
Answer: A,E
NEW QUESTION: 3
Which of the following is/are nominal data?
A. Stages of breast cancer
B. Sex
C. Blood Group
D. Race
E. NYHA stages I-IV
Answer: C
Explanation:
Explanation
Nominal data is considered unordered categories. Sex answers fall into male or female which is unordered.
Race can be multiple answers such as Caucasian, African American, Asian, etc which is unordered. Blood group can only have blood type O, A, B, or AB which is also unordered. Ordered, or ordinal data would have categories that are in some sort of order
NEW QUESTION: 4
A customer owns a MySQL database that is accessed by various clients who expect, at most, 100 ms latency on requests. Once a record is stored in the database, it rarely changed. Clients only access one record at a time. Database access has been increasing exponentially due to increased client demand. The resultant load will soon exceed the capacity of the most expensive hardware available for purchase. The customer wants to migrate to AWS, and is willing to change database systems.
Which service would alleviate the database load issue and offer virtually unlimited scalability for the future?
A. Amazon Redshift
B. AWS Data Pipeline
C. Amazon RDS
D. Amazon DynamoDB
Answer: D
Explanation:
Explanation
Many companies consider migrating from relational databases like MySQL to Amazon DynamoDB, a fully managed, fast, highly scalable, and flexible NoSQL database service. For example, DynamoDB can increase or decrease capacity based on traffic, in accordance with business needs. The total cost of servicing can be optimized more easily than for the typical media-based RDBMS.
https://aws.amazon.com/blogs/big-data/near-zero-downtime-migration-from-mysql-to-dynamodb/
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