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NEW QUESTION: 1
What security mechanism can an administrator use on an OSSV client to use permissions allowing backup to a SnapVault secondary system?
A. MD5 authentication between SnapVault primary and secondary, with changeable password
B. Via /etc/hosts.equiv file
C. Contents inside file called access and located in OSSV /snapvault/etc
D. QSM access list modifiable via svconfigurator
Answer: D
Explanation:
Explanation/Reference:
Explanation:
https://communities.netapp.com/servlet/JiveServlet/previewBody/4791-102-2-13466/tr-3466.pdf In order to restrict the NetApp secondary systems that are allowed to initiate backups from an OSSV host, the QSM Access List field can be populated with the hostname of the secondary using the OSSV Configurator utility. When using this option, make sure the "Check QSM Access List" box is enabled.
The snapvault.access option on the NetApp secondary can be used to restrict the OSSV hosts that are allowed to initiate restores from that secondary system. This option can be populated with a list of hostnames for each OSSV host. For example:
options snapvault.access host=ossv1,ossv2,ossv3
Screenshot of the svconfigurator GUI; note the QSM access list checkbox and field.

NEW QUESTION: 2
What is the primary difference between the arrow diagramming method (ADM) and the precedence diagramming method (PDM)?
A. ADM is limited to finish-to-start logic relationships, while PDM is not.
B. PDM is a bar chart with network logic, while ADM is a pure logic network.
C. ADM is manual CPM calculations, while PDM is computerized.
D. ADM uses arrows, while PDM uses boxes.
Answer: A

NEW QUESTION: 3
Topic 1, Trey Research
Background
You develop an intranet portal for Trey Research. End users of the portal are researchers and office staff.
Business Requirements
All end users must be able to customize their profile with relevant information. Researchers must store research papers, upload supporting documents, and search content.
Storage
The portal must use an existing Microsoft SQL Server database to access and store work profile information and research papers.
Data Access
- The portal must use Business Connectivity Services (BCS) to access data from external systems.
- Researchers must search content from SharePoint and external systems.
- Researchers must manage a research topic and related content as a single entity.
User Profile
- Employees must be able to customize their profile.
- Administrators must be able to create new profile properties.
Technical Requirements
Data Store
The data model for the database entities is shown below:

Users must not be allowed to update the Employees.Username and ResearchPapers.ID fields.
The fields uniquely distinguish the corresponding entity.
Access External Data
-
You must create an external content type named TreyResearch to access the SQL data source.
During development, the data source will be accessible locally.
- You must develop an app to access the fields named Employee Name and Research Paper Title.
- Researchers must be able to find all research papers that are written by a particular employee.
- A research paper always must be associated with the employee that wrote it.
Document Management
- Researchers must be able to upload research papers and relevant supporting
materials into a document set named Research Content. - All the document sets must be stored in a list named ResearchPapers. - All documents that are uploaded must contain the prefix DOC in the file name.
Environment
The SQL database will be on a different physical server when the solution is deployed to a production environment. The solution must use the SQL Server user named sqltrey to connect to the database. The BCS service is configured and running in the production environment.
Personalize
- You must use custom profile properties to add a new section to the user profile properties page. - The solution must use the client-side object model (CSOM) to upload employee
profile pictures. - Employees must be able to change their display name on the site. - Each employee's page must display the value of the DisplayName and Title fields.
Search
- The Microsoft Bing API web service must be used to search for research papers. No code must be written. - The app must use a Content Enrichment web service named AbstractIndexer. The app must use the AbstractIndexer service to index search content. - The solution must store large-sized media files in a dedicated SQL Server database. - The database must use the ResearchPapers.ID field as the foreign key to associate the field with the TreyResearch external content type.
Application Structure
Relevant portions of the solution files are shown below. (Line numbers in the code segments are included for reference only and include a two-character prefix that denotes the specific file to which they belong.)
App.js

ManageUserProfiles.es ContentManagement.es


=======================================================================
DRAG DROP
You need to add code to line MP22 to create the custom profile property.
How should you complete the relevant code? (To answer, drag the appropriate code segments to the correct locations in the answer area. Each code segment may be used once or not at all. You may need to drag the split bar between panes or scroll to view content.)

Answer:
Explanation:

NEW QUESTION: 4
Microsoft AzureでLambdaアーキテクチャを使用してソリューションを開発しています。
テストレイヤーのデータは、次の要件を満たしている必要があります。
データストレージ：
*リポジトリ（またはさまざまな形式の大量の大容量ファイル）として機能します。
*ビッグデータ分析ワークロード用に最適化されたストレージを実装します。
*階層構造を使用してデータを整理できるようにします。
バッチ処理：
*メモリ内の計算処理にはマネージドソリューションを使用します。
* Scala、Python、およびRプログラミング言語をネイティブにサポートします。
*クラスターを自動的にサイズ変更および終了する機能を提供します。
Analytical data store:
* Support parallel processing.
* Use columnar storage.
* Support SQL-based languages.
Lambdaアーキテクチャを構築するには、正しいテクノロジーを特定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
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。

Answer:
Explanation:

Explanation

Data storage: Azure Data Lake Store
A key mechanism that allows Azure Data Lake Storage Gen2 to provide file system performance at object storage scale and prices is the addition of a hierarchical namespace. This allows the collection of objects/files within an account to be organized into a hierarchy of directories and nested subdirectories in the same way that the file system on your computer is organized. With the hierarchical namespace enabled, a storage account becomes capable of providing the scalability and cost-effectiveness of object storage, with file system semantics that are familiar to analytics engines and frameworks.
Batch processing: HD Insight Spark
Aparch Spark is an open-source, parallel-processing framework that supports in-memory processing to boost the performance of big-data analysis applications.
HDInsight is a managed Hadoop service. Use it deploy and manage Hadoop clusters in Azure. For batch processing, you can use Spark, Hive, Hive LLAP, MapReduce.
Languages: R, Python, Java, Scala, SQL
Analytic data store: SQL Data Warehouse
SQL Data Warehouse is a cloud-based Enterprise Data Warehouse (EDW) that uses Massively Parallel Processing (MPP).
SQL Data Warehouse stores data into relational tables with columnar storage.
References:
https://docs.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-namespace
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/batch-processing
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-overview-what-is

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