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NEW QUESTION: 1
What are the three advantages of using the Spreadsheet for Import Error Correction feature?
A. Correction of errors in the spreadsheet and loading but reimporting cannot be done from spreadsheet
B. Identification of errors with clear messages at invoice header only that failed to import
C. Correction of errors and reimporting invoices directly from spreadsheet
D. Viewing invoice header and lines in the same view
E. Identification of errors with clear messages at the invoice header and line level that failed to import
Answer: C,D,E
Explanation:
Note:
*The ledger and subledger transactions are captured in four ways: entering journals manually, entering journals in spreadsheets, importing journals, and creating journals automatically
*Enter manual and recurring journal entries through a spreadsheet interface. Load the completed spreadsheet into the import interface. Schedule or manually submit the Journal Import program to import the data into the ledger. Working in spreadsheets adds functionality such as the use of macros, formulas, and links to existing documents. Spreadsheets are created as templates for recurring entries and then each month, simply update the data and upload.
*The transaction data entered in both Oracle Fusion and legacy system subledgers is imported into the General Ledger Interface table. Errors during the import process are available in a spreadsheet interface. After correcting the errors or deleting the error lines, run the Journal Import process again.
NEW QUESTION: 2
A. a bolt
B. a Microsoft Azure Service Bus queue
C. Flume
D. a spout
Answer: D
Explanation:
Explanation
To perform real-time computation on Storm, we create "topologies." A topology is a graph of a computation, containing a network of nodes called "Spouts" and "Bolts." In a Storm topology, a Spout is the source of data streams and a Bolt holds the business logic for analyzing and processing those streams.
The org.apache.storm.kafka.KafkaSpout component reads data from Kafka.
Example:
References:
https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-apache-storm-with-kafka
https://hortonworks.com/blog/storm-kafka-together-real-time-data-refinery/
NEW QUESTION: 3
どのDell EMC UnityおよびSCシリーズの機能が容量の効率的な使用に役立ちますか？
A. ユニティ：FAST VPSCシリーズ：FastTrack
B. Unity：FAST VPSCシリーズ：データの進行
C. Unity：FAST CacheSCシリーズ：データの進行
D. Unity：FAST CacheSCシリーズ：FastTrack
Answer: B
NEW QUESTION: 4
A. CREATE INDEX IX_Table1OKTable1(Column1) INCLUDE (Column2)
B. CREATE INDEX IX_Table1ONTable1(Column2) WHERE Column2 IS NOT NOLL
C. CREATE INDEX IX_Table1ONTable1(Column2) WHERE Column2 IS NULL
D. CREATE INDEX IX_Table1ONTable1(Column2) WITH FILLFACTOR-0
Answer: B