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NEW QUESTION: 1
View the following exhibit:

Which of the following statements are true regarding when ADOM is set as Normal mode on the FortiManager? (Choose two.)
A. Cannot assign the same ADOM to multiple administrators
B. FortiManager automatically installs the configuration difference in revisions on the managed FortiGate
C. Allows making configuration changes for managed devices on FortiManager panes
D. Supports FortiManager script feature
Answer: B,C

NEW QUESTION: 2
Your customer is looking to consolidate their current Windows CIFS server virtualized on VMware to a purpose built file sharing device. Their environment consistsof.
- 250-300 power users leveraging complex macros and import data from other
applications - 15000-18000 average users leveraging home directories - Some files are shared between their Windows and Red Hat application teams.
What key information should be collected to size and configure the VNX for their multi-protocol shares?
A. Windows and NFS client/server version information Active Directory Version information and number of domains Average number of files per server and average file size Backup configuration, total storage used Anti-virus version DASD RAID Configuration
B. Windows and NFS client/server version information Active Directory Version information and number of domains User mapping tools Average number of files per server and average file size Total storage used esxtop data
C. Windows and NFS client/server version information Active Directory Version information and number of domains User mapping tools Average number of files per server and average file size Total storage used Anti-virus version
D. Windows and NFS client/server version information Active Directory Version information and number of domains User mapping tools Average number of files per server and average file size Total storage used perfmon/iostat data
Answer: D

NEW QUESTION: 3
You need to make available the content that is provided by the design team. Which markup segment should you use?

A. Option D
B. Option A
C. Option B
D. Option C
Answer: C

NEW QUESTION: 4
会社は、Platform-as-a-Service（PaaS）を使用して新しいデータパイプラインプロセスを作成する予定です。プロセスは次の要件を満たしている必要があります。
摂取：
*複数のデータソースにアクセスする
*ワークフローを調整する機能を提供する
* SQL Server Integration Servicesパッケージを実行する機能を提供します。
格納：
*ビッグデータワークロード向けにストレージを最適化します。
*保存データの暗号化を提供します。
*サイズ制限なしで動作します。
準備とトレーニング：
*探索と視覚化のための完全に管理されたインタラクティブなワークスペースを提供します。
* R、SQL、Python、Scala、およびJavaでプログラミングする機能を提供します。
* Azure Active Directoryでシームレスなユーザー認証を提供します。
モデルとサービス：
*ネイティブのカラムナーストレージを実装します。
* SQL言語のサポート
*構造化ストリーミングのサポートを提供します。
データ統合パイプラインを構築する必要があります。
どのテクノロジーを使用する必要がありますか？回答するには、回答エリアで適切なオプションを選択します。

Answer:
Explanation:

Explanation

Ingest: Azure Data Factory
Azure Data Factory pipelines can execute SSIS packages.
In Azure, the following services and tools will meet the core requirements for pipeline orchestration, control flow, and data movement: Azure Data Factory, Oozie on HDInsight, and SQL Server Integration Services (SSIS).
Store: Data Lake Storage
Data Lake Storage Gen1 provides unlimited storage.
Note: Data at rest includes information that resides in persistent storage on physical media, in any digital format. Microsoft Azure offers a variety of data storage solutions to meet different needs, including file, disk, blob, and table storage. Microsoft also provides encryption to protect Azure SQL Database, Azure Cosmos DB, and Azure Data Lake.
Prepare and Train: Azure Databricks
Azure Databricks provides enterprise-grade Azure security, including Azure Active Directory integration.
With Azure Databricks, you can set up your Apache Spark environment in minutes, autoscale and collaborate on shared projects in an interactive workspace. Azure Databricks supports Python, Scala, R, Java and SQL, as well as data science frameworks and libraries including TensorFlow, PyTorch and scikit-learn.
Model and Serve: SQL Data Warehouse
SQL Data Warehouse stores data into relational tables with columnar storage.
Azure SQL Data Warehouse connector now offers efficient and scalable structured streaming write support for SQL Data Warehouse. Access SQL Data Warehouse from Azure Databricks using the SQL Data Warehouse connector.
References:
https://docs.microsoft.com/bs-latn-ba/azure/architecture/data-guide/technology-choices/pipeline-orchestration-da
https://docs.microsoft.com/en-us/azure/azure-databricks/what-is-azure-databricks