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NEW QUESTION: 1
Note: This question is part of a series of questions that use the same scenario. For your
convenience, the scenario is repeated in each question. Each question presents a different goal
and answer choices, but the text of the scenario is exactly the same in each question in this series.
You have five servers that run Microsoft Windows 2012 R2. Each server hosts a Microsoft SQL Server
instance. The topology for the environment is shown in the following diagram.

You have an Always On Availability group named AG1. The details for AG1 are shown in the following
table.

Instance1 experiences heavy read-write traffic. The instance hosts a database named OperationsMain that
is four terabytes (TB) in size. The database has multiple data files and filegroups. One of the filegroups is
read_only and is half of the total database size.
Instance4 and Instance5 are not part of AG1. Instance4 is engaged in heavy read-write I/O.
Instance5 hosts a database named StagedExternal. A nightly BULK INSERT process loads data into an
empty table that has a rowstore clustered index and two nonclustered rowstore indexes.
You must minimize the growth of the StagedExternal database log file during the BULK INSERT
operations and perform point-in-time recovery after the BULK INSERT transaction. Changes made must
not interrupt the log backup chain.
You plan to add a new instance named Instance6 to a datacenter that is geographically distant from Site1
and Site2. You must minimize latency between the nodes in AG1.
All databases use the full recovery model. All backups are written to the network location \\SQLBackup\. A
separate process copies backups to an offsite location. You should minimize both the time required to
restore the databases and the space required to store backups. The recovery point objective (RPO) for
each instance is shown in the following table.

Full backups of OperationsMain take longer than six hours to complete. All SQL Server backups use the
keyword COMPRESSION.
You plan to deploy the following solutions to the environment. The solutions will access a database named
DB1 that is part of AG1.
Reporting system: This solution accesses data inDB1with a login that is mapped to a database user

that is a member of the db_datareader role. The user has EXECUTE permissions on the database.
Queries make no changes to the data. The queries must be load balanced over variable read-only
replicas.
Operations system: This solution accesses data inDB1with a login that is mapped to a database user

that is a member of the db_datareader and db_datawriter roles. The user has EXECUTE permissions
on the database. Queries from the operations system will perform both DDL and DML operations.
The wait statistics monitoring requirements for the instances are described in the following table.

You need to create a backup plan for Instance4.
Which backup plan should you create?
A. Weekly full backups, differential backups every 30 minutes. No transaction log backups are necessary.
B. Weekly full backups, nightly differential backups, transaction log backups every 12 hours.
C. Weekly full backups, nightly differential backups, transaction log backups every 5 minutes.
D. Weekly full backups, weekly differential backups, nightly transaction log backups.
Answer: C
Explanation:
Explanation/Reference:
Explanation:
Scenario: Instance4 has a Recovery point objective of 60 minutes.
You should minimize both the time required to restore the databases and the space required to store
backups.
Instance4 is engaged in heavy read-write I/O

NEW QUESTION: 2

A. Option B
B. Option D
C. Option C
D. Option A
E. Option E
Answer: A
Explanation:
1. Create a policy to capture the privilege used by a user for privilege analysis.
3. Start analyzing the data captured by the policy.
6. Stop analyzing the data.
2. Generate a report with the data captured for a specified privilege capture.
5. Compare the used and unused privileges' lists.
4. Revoke the unused privileges.

NEW QUESTION: 3
DRAG DROP


Answer:
Explanation:

Topic 2, Fourth Coffee
Background
You are a developer working for Fourth Coffee, a company that sells coffee and coffee accessories through an Azure-based website and retail locations. Features of the website include the ability to write product reviews, comment on reviews and find whether a particular product is available at a specific retail location.
Fourth Coffee licenses a product from Contoso, Ltd, that provides an Azure-based website for users in Japan. The website includes reviews and comments. All comments and product reviews are shared between Fourth Coffee's website and the Japanese website.
Business Requirements
Product Reviews
User-submitted product reviews are provided by Contoso and are stored in the Japanese language in an HTML file format. When a review is submitted, you must remove specific keywords from the review and translate the review to the English language before you load the review onto the Fourth Coffee website.
Translation processing and migration must occur with a minimum delay.
Product reviews can be loaded by third party websites, but only after they are processed and reviewed by Fourth Coffee employees. Reviews can be loaded up to one year after they are made public on the Fourth Coffee website.
Comments
Users can post comments about product reviews. After a comment is posted, all other users who comment on that product receive a notification on their Android or Windows Phone device.
Technical Requirements
Product Reviews
The product reviews from Contoso are stored as HTML files in BLOB storage with the format
"/reviews/<guid>html".
Fourth Coffee stores reviews in BLOB storage, with the format "/users/reviews/<guid>.md" where
<guid> matches the file name of the review. After a Fourth Coffee employee approves the review, a metadata property named Reviewed with the value true is set on the BLOB.
Some product reviews contain language-specific terms that require additional processing. The additional processing is done by a python script named cleanup.py. The script relies on a data file names term.data that contains terms and their replacement values. All running instances of the script must use the same instance of the data file.
Security
To simplify the security configuration, Contoso and Fourth Coffee agree to configure the website and services to allow for communication between the services without the traffic being visible on the public Internet.
To prevent third parties from harvesting review data, whenever the system returns public reviews, it records the IP address of the request and increments a count of the times that data is retrieved from a particular IP address. If an IP address makes more than 10 requests a minute, the client must be redirected to a static page named ratelimit.html.
Azure
The Fourth Coffee website and related services that run on Azure are located in the US West region and are on a single virtual network named Main with the address 10.1.0.0/16.
The Contoso website and related services that run on Azure are located in the Japan West region and are on a single virtual network named CT with the address 10.2.0.0/24.
Comments
Product review comments must be processed, at most, one time. When a comment is posted, it must be associated with the identity of the user who posted the comment. Product review comments are indexed by a web service that accepts the body of the comment in an HTTP POST. When comments are ported, they must be indexed for search within 15 minutes. Each comment must be indexed exactly once. All mobile device notifications are sent by using the Azure Notification Hub service.
Application Structure
CommentIndexer.cs
Relevant portions of the CommentIndexer.cs file are shown below. Line numbers are included for reference only and include a two-character prefix that denotes the specific file to which the code belongs.

ReviewController.cs
Relevant portions of the ReviewController.cs file are shown below. Line numbers are included for reference only and include a two-character prefix that denotes the specific file to which the code belongs.

TranslateJob.cs
Relevant portions of the TranslateJob.cs file are shown below. Line numbers are included for reference only and include a two-character prefix that denotes the specific file to which the code belongs.

AccessRateFilter.cs
Relevant portions of the AccessRateFilter.cs file are shown below. Line numbers are included for reference only and include a two-character prefix that denotes the specific file to which the code belongs.