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NEW QUESTION: 1
Sie haben ein Azure-Abonnement mit dem Namen Abonnement1.
Sie haben 5 TB Daten, die Sie an Subscription1 übertragen müssen.
Sie planen, einen Azure-Import / Export-Auftrag zu verwenden.
Was können Sie als Ziel der importierten Daten verwenden?
A. eine virtuelle Maschine
B. Der Azure File Sync-Speichersynchronisierungsdienst
C. Azure Blob-Speicher
D. Azure Data Lake Store
Answer: C
Explanation:
Azure Import/Export service is used to securely import large amounts of data to Azure Blob storage and Azure Files by shipping disk drives to an Azure datacenter.
The maximum size of an Azure Files Resource of a file share is 5 TB.
Reference:
https://docs.microsoft.com/en-us/azure/storage/common/storage-import-export-service

NEW QUESTION: 2
Management's attitude toward aggressive financial reporting and its emphasis on meeting projected profit
goals most likely would significantly influence an entity's control environment when:
A. Those charged with governance are active in overseeing the entity's financial reporting policies.
B. Internal auditors have direct access to the board of directors and the entity's management.
C. External policies established by parties outside the entity affect its accounting practices.
D. Management is dominated by one individual who is also a shareholder.
Answer: D
Explanation:
Explanation/Reference:
Explanation:
Choice "B" is correct. When management is dominated by one individual who is also a shareholder, there
may be an opportunity for management to override control procedures.
Choice "A" is incorrect. Influence of external parties serves an oversight role that strengthens the control
environment and minimizes the effect of management's attitude.
Choice "C" is incorrect. Existence of internal auditors with direct access to the board of directors
strengthens the control environment and lessens the effect of management's attitude.
Choice "D" is incorrect. Active participation of those charged with governance serves an oversight role that
strengthens the control environment and lessens the effect of management's attitude.

NEW QUESTION: 3
View Exhibit1 and examine the structure and indexes for the MYSALES table.

The application uses the MYSALES table to insert sales record. But this table is also
extensively used for generating sales reports. The PROD_ID and CUST_ID columns are frequently used in the WHERE clause of the queries. These columns have few distinct values relative to the total number of rows in the table. The MYSALES table has 4.5 million rows.
View exhibit 2 and examine one of the queries and its autotrace output.

Which two methods can examine one of the queries and its autotrace output?
A. Create a composite index involving the CUST_ID and PROD_ID columns.
B. Drop the current standard balanced B* Tree indexes on the CUST_ID and PROD_ID columns and re-create as bitmapped indexes.
C. Rebuild the index to rearrange the index blocks to have more rows per block by decreasing the value for PCTFRE attribute.
D. Collect histogram statistics for the CUST_ID and PROD_ID columns.
E. Use the INDEX_COMBINE hint in the query.
Answer: A,E
Explanation:
B:The INDEX hint explicitly chooses an index scan for the specified table. You can use the INDEX hint for domain, B-tree, bitmap, and bitmap join indexes. However, Oracle recommends using INDEX_COMBINE rather than INDEX for the combination of multiple indexes, because it is a more versatile hint.
C: Combiningthe CUST_ID and PROD_IDcolumns into an composite index would improve performance.

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. 2, 3, 4, 1
C. 3, 2, 4, 1
D. 4, 1, 3, 2
Answer: B
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.