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NEW QUESTION: 1

A. Option C
B. Option A
C. Option D
D. Option B
Answer: B,D
Explanation:
backup-level
Description
The backup-level placeholder specifies the level of a backup created with the backup command.
Syntax
backup-level::
full | incr_level | incr | offsite
incr_level::
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9
Semantics
full
Specifies that Oracle Secure Backup should back up all files defined in a dataset regardless of when they were last backed up. This option is equivalent to level 0. This is the default value.
incr_level
Specifies an incremental level from 1 to 9 and backs up only those files that have changed since the last backup at a lower level.
incr
Specifies that Oracle Secure Backup should back up any file that has been modified since the last incremental backup at the same level or lower. The incr option is equivalent to level
10. This level is platform dependent and is incompatible with some client operating systems such as the Netapp filer's Data ONTAP.
offsite
Equivalent to a full (level 0) backup except that Oracle Secure Backup keeps a record of this backup in such a way that it does not affect the full or incremental backup schedule.
This option is useful when you want to create a backup image for offsite storage without disturbing your schedule of incremental backups.

NEW QUESTION: 2
大きなマスタータイルと小さなトランザクションイオンアクティビティファイルを備えたアプリケーションシステムの場合、完全トランザクションファイルバックアップから増分バックアップに変更することの主な利点は次のとおりです。
A. バックアップメディアの制御を強化
B. ディスクシーク時間の増加
C. CPU処理時間の短縮
D. より高速なディザスタリカバリ機能
Answer: C

NEW QUESTION: 3
You are designing a solution that will ingest data from an Azure loT Edge device, preprocess the data in Azure Machine Learning, and then move the data to Azure HDInsight for further processing.
What should you include in the solution? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: Export Data
The Export data to Hive option in the Export Data module in Azure Machine Learning Studio. This option is useful when you are working with very large datasets, and want to save your machine learning experiment data to a Hadoop cluster or HDInsight distributed storage.
Box 2: Apache Hive
Apache Hive is a data warehouse system for Apache Hadoop. Hive enables data summarization, querying, and analysis of data. Hive queries are written in HiveQL, which is a query language similar to SQL.
Box 3: Azure Data Lake
Default storage for the HDFS file system of HDInsight clusters can be associated with either an Azure Storage account or an Azure Data Lake Storage.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/export-to-hive-query
https://docs.microsoft.com/en-us/azure/hdinsight/hadoop/hdinsight-use-hive

NEW QUESTION: 4
DRAG DROP
An organization has several web applications and uses Azure Active Directory (Azure AD). You are developing a new
web application that supports sign-on using the WS-Federation to Azure AD.
You need to describe the authentication process flow to your team.
In which order are the actions performed? To answer, move all actions from the list of actions to the answer area and
arrange them in the correct order.

Answer:
Explanation:

References:
https://azure.microsoft.com/en-gb/documentation/articles/active-directory-authentication-scenarios/