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NEW QUESTION: 1
게임은 사용자 게임 데이터를 Amazon DynamoDB 테이블에 저장합니다. 개별 사용자는 다른 사용자의 게임 데이터에 액세스 할 수 없어야 합니다. 이것이 어떻게 성취 될 수 있는가?
A. 개별 사용자 키로 게임 데이터를 암호화합니다.
B. DynamoDB에서 레코드를 읽고 클라이언트 측에서 관련없는 데이터를 삭제합니다.
C. SQS 대기열의 데이터를 스테이지하여 DynamoDB에 액세스하기 전에 메타 데이터를 주입합니다.
D. 특정 기본 키 값을 기반으로 특정 항목에 대한 액세스를 제한합니다.
Answer: D
NEW QUESTION: 2
Answer:
Explanation:
Explanation
NEW QUESTION: 3
Identify the dunning letter template set provided by an application.
A. Regular, Medium, Hard
B. Soft, Regular, Hard
C. Final Demand, Soft, Medium
D. Regular, Final Demand, Medium
Answer: C
Explanation:
Explanation/Reference:
NEW QUESTION: 4
列グループの使用をキャプチャして、SHスキーマのCUSTOMERS表のより良い基数の見積もりのために拡張された統計情報を収集したいと思います。
次の手順を確認します:
1.SELECT DBMS_STATS.CREATE_EXTENDED_STATS ('SH', 'CUSTOMERS')
FROMデュアルステートメントを発行します。
2.DBMS_STATS.SEED_COL_USAGE（null、'SH'、500）の手順を実行します。
3.CUSTOMERS表に必要なクエリーを実行します。
4.SELECT DBMS_STATS.REPORT_COL_USAGE ('SH', 'CUSTOMERS') FROMデュアルステートメントを発行します。
正しい手順を識別してください。
A. 3, 2, 1, 4
B. 4, 1, 3, 2
C. 3, 2, 4, 1
D. 2, 3, 4, 1
Answer: D
Explanation:
Explanation
Step 1 (2). Seed column usage
Oracle must observe a representative workload, in order to determine the appropriate column groups. Using the new procedure DBMS_STATS.SEED_COL_USAGE, you tell Oracle how long it should observe the workload.
Step 2: (3) You don't need to execute all of the queries in your work during this window. You can simply run explain plan for some of your longer running queries to ensure column group information is recorded for these queries.
Step 3. (1) Create the column groups
At this point you can get Oracle to automatically create the column groups for each of the tables based on the usage information captured during the monitoring window. You simply have to call the DBMS_STATS.CREATE_EXTENDED_STATS function for each table.This function requires just two arguments, the schema name and the table name. From then on, statistics will be maintained for each column group whenever statistics are gathered on the table.
Note:
* DBMS_STATS.REPORT_COL_USAGE reports column usage information and records all the SQL operations the database has processed for a given object.
* The Oracle SQL optimizer has always been ignorant of the implied relationships between data columns within the same table. While the optimizer has traditionally analyzed the distribution of values within a column, he does not collect value-based relationships between columns.
* Creating extended statisticsHere are the steps to create extended statistics for related table columns withdbms_stats.created_extended_stats:
1 - The first step is to create column histograms for the related columns.2 - Next, we run dbms_stats.create_extended_stats to relate the columns together.
Unlike a traditional procedure that is invoked via an execute ("exec") statement, Oracle extended statistics are created via a select statement.