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NEW QUESTION: 1
スプリント実行中に何をしますか?
正解をお選びください。
応答:
A. スプリントバックログアイテムがすべて完了したら、スプリントを終了します
B. 各週末に回顧展を開催する
C. スプリントボードのスプリントスコープで選択されたユーザーストーリーの現在のステータス
D. 完了率レポートを使用してスプリントの進捗状況を測定します
Answer: D
NEW QUESTION: 2
View the Exhibit 1.
In the CUSTOMERS_OBE table, when the value of CUST_STATE_PROVINCE is "CA", the value of COUNTRY_ID is "US." View the Exhibit exhibit2 to examine the commands and query plans. The optimizer can sense 8 rows instead of 29 rows, which is the actual number of rows in the table.
What can you do to make the optimizer detect the actual selectivity?
desc-customers_obe (exhibit):
sql-select-customers_obe (exhibit):
A. Set the STATISTICS_LEVEL parameter to TYPICAL.
B. Change the STALE_PERCENT value for the CUSTOMERS_OBE table.
C. Create extended statistics for the CUST_STATE_PROVINCE and CUSTOMERS_OBE columns.
D. Set the OPTIMIZER_USE_PENDING_STATISTICS parameter to FALSE.
Answer: C
Explanation:
Explanation/Reference:
Explanation:
Determining Single Column Statistics
A good example of correlated or related columns are the country_id and cust_state_province columns in the CUSTOMERS_OBE table. When the value of cust_state_province is 'CA' , the value of country_id is
'US'. There is a skew in the data in these two columns, which means the majority of rows in the table have the values 'CA' and 'US'. Both the relationship between the columns and the skew in the data make it difficult for the optimizer to calculate the selectivity or cardinality of these columns correctly when they are used together in a query. Extended statistics should help in this situation.
NEW QUESTION: 3
What kind of tool is Data Manager?
A. CRM
B. PDM
C. ETL
D. ERP
Answer: C
NEW QUESTION: 4
A. IMAP
B. HTTP
C. PII
D. HTTPS
Answer: C
