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NEW QUESTION: 1
Which two locations provide error information when a scheduled Crystal Report instance fails to run? (Choose two.)
A. Instance Properties
B. Instance History tab
C. Schedule Information tab
D. Schedule Status Report
Answer: A,B

NEW QUESTION: 2
Examine this code:

Users of this function may set different date formats in their sessions.
Which two modifications must be made to allow the use of your session's date format when outputting the cached result of this function?
A. Set NLS_DATE_FORMAT to 'DD-MM-YY' at the instance level.
B. Use the TO_CHAR function around SYSDATE, that is, 1_date := TO_CHAR (SYSDATE).
C. Set the RESULT_CACHE_MODE parameter to FORCE.
D. Change the data type of 1_date to DATE.
E. Change the RETURN type to DATE.
F. Change AUTHID to CURRENT_USER.
Answer: E,F

NEW QUESTION: 3
展示を参照してください。

R1はGigabitEthernet0 / 0を介してR2に接続されており、R2はR1にpingを実行できません。どのようなアクションで問題が解決しますか？
A. サポートされていないため、SFPモジュールを交換してください。
B. インターフェイスに設定されているIPイベントダンピングを修正しました。
C. ルーターに設定されているルートダンピングを修正しました。
D. 失敗したIPSLAプローブを修正します。
Answer: B
Explanation:

NEW QUESTION: 4
販売データを含むデータベースがあります。
Stream1およびStream2という名前の2つのデータストリームを使用して、販売データを処理する予定です。 Stream1は発注書データに使用されます。 Stream2は参照データに使用されます。
参照データはCSVファイルに保存されます。
データストリームごとに取り込みソリューションを推奨する必要があります。
どの2つのソリューションをお勧めしますか？それぞれの正解は完全なソリューションです。
注：それぞれの正しい選択には1ポイントの価値があります。
A. Stream1およびStream2のAzure Blobストレージ
B. Stream1およびStream2のAzureイベントハブ
C. Stream1用のAzure Cosmos DBおよびStream2用のAzureイベントハブ
D. Stream1のAzureイベントハブとStream2のAzure Blobストレージ
E. Stream1用のAzure BlobストレージとStream2用のAzure Cosmos DB
Answer: A,D
Explanation:
Stream1 - Azure Event
Stream2 - Blob Storage
Azure Event Hubs is a highly scalable data streaming platform and event ingestion service, capable of receiving and processing millions of events per second. Event Hubs can process and store events, data, or telemetry produced by distributed software and devices. Data sent to an event hub can be transformed and stored using any real-time analytics provider or batching/storage adapters. Event Hubs provides publishsubscribe capabilities with low latency at massive scale, which makes it appropriate for big data scenarios.
Stream1, Stream2 - Blob Storage
Stream Analytics has first-class integration with Azure data streams as inputs from three kinds of resources:
Azure Event Hubs
Azure IoT Hub
Azure Blob storage
These input resources can live in the same Azure subscription as your Stream Analytics job or a different subscription.
References:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/real-time-ingestion