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NEW QUESTION: 1
UDPを使用してネットワーク上のデバイスを管理および監視するアプリケーション層プロトコルは、デバイスで保護されていない場合に悪用される可能性がありますか?
A. HTTPS
B. TFTP
C. FTP
D. SMTP
E. SNMP
Answer: E
NEW QUESTION: 2
Which
of the following
is NOT
a correct statement
regarding HIPAA requirements?
A. A covered entity must change its
policies and
procedures
to comply with HIPAA regulations, standards, and implementation specifications.
B. The Privacy Rule requires that the covered entity has a documented security policy.
C. A covered entity must document all complaints received regarding privacy issues.
D. A covered entity must
reasonably
safeguard
PHI from
any intentional
or unintentional use or disclosure that is in violation of the regulations.
E. A covered entity must provide a process for individuals to make complaints concerning privacy issues.
Answer: B
NEW QUESTION: 3
You are developing a SQL Server Integration Services (SSIS) package.
The package uses a data flow task to source data from a SQL Server database for loading into a dimension table in a data warehouse.
You need to create a separate data flow path for data that has been modified since it was last processed.
Which data flow components should you use to identify modified data? (Each correct answer presents a complete solution. Choose all that apply.)
A. Aggregate
B. Slowly Changing Dimension
C. Lookup
D. Multicast
E. Data Conversion
Answer: C,D
Explanation:
Explanation: A: The transformation that distributes data sets to multiple outputs.
The transformation that distributes data sets to multiple outputs.
C: Lookup Transformation
The transformation that looks up values in a reference table using an exact match.
Note:
* SQL Server Integration Services provides three different types of data flow components:
sources, transformations, and destinations. Sources extract data from data stores such as tables and views in relational databases, files, and Analysis Services databases.
Transformations modify, summarize, and clean data. Destinations load data into data stores or create in-memory datasets.
Incorrect:
Not B: Data Conversion Transformation
The transformation that converts the data type of a column to a different data type.
Not D: Slowly Changing Dimension Transformation
The transformation that configures the updating of a slowly changing dimension.
Not E: The Aggregate transformation applies aggregate functions, such as Average, to column values and copies the results to the transformation output. Besides aggregate functions, the transformation provides the GROUP BY clause, which you can use to specify groups to aggregate across.
NEW QUESTION: 4
You design an Azure application that processes images. The maximum size of an image is 10 MB. The application includes a web role that allows users to upload images and a worker role with multiple instances that processes the images. The web role communicates with the worker role by using an Azure Queue service.
You need to recommend an approach for storing images that minimizes storage transactions.
What should you recommend?
A. Store images in local storage on the web role instance. Store references to the images in the queue.
B. Store images in Azure Blob service. Store references to the images in the queue.
C. Store images in the queue.
D. Store images in OneDrive attached to the worker role instances. Store references to the images in the queue.
Answer: B
Explanation:
Explanation
Azure Queues provide a uniform and consistent programming model across queues, tables, and BLOBs - both for developers and for operations teams.
Microsoft Azure blob storage can be used to store the image data, the application can use a worker role in Azure to perform background processing tasks on the images, how the application may use shared access signatures to control access to the images by users.
Azure blobs provide a series of containers aimed at storing text or binary data. Block blob containers are ideal for streaming data, while page blob containers can be used for random read/write operations.
References: https://msdn.microsoft.com/en-gb/library/ff803365.aspx
https://msdn.microsoft.com/en-us/library/azure/hh767287.aspx
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