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NEW QUESTION: 1
A. Data Quality Client and Distributed Replay Client
B. Master Data Services and SQL Server Data Tools
C. SQL Server DATA Tools and Distributed Replay Client
D. Data Quality Client and SQL Server DATA Tools
Answer: D
Explanation:
Explanation
Data Quality Client is a standalone application that enables you to perform knowledge management, data quality projects, and administration in one user interface. The application is designed for both data stewards and DQS administrators. It is a stand-alone executable file that performs knowledge discovery, domain management, matching policy creation, data cleansing, matching, profiling, monitoring, and server administration.
SQL Server Data Tools is a modern development tool that you can download for free to build SQL Server relational databases, Azure SQL databases, Integration Services packages, Analysis Services data models, and Reporting Services reports. With SSDT, you can design and deploy any SQL Server content type with the same ease as you would develop an application in Visual Studio.
Incorrect Answres:
A, D: The SQL Server Distributed Replay feature helps you assess the impact of future SQL Server upgrades.
You can also use it to help assess the impact of hardware and operating system upgrades, and SQL Server tuning.
C: Master Data Services enables you to manage a master set of your organization's data. You can organize the data into models, create rules for updating the data, and control who updates the data.
References:
https://technet.microsoft.com/en-us/library/ff877917(v=sql.110).aspx
https://docs.microsoft.com/en-us/sql/ssdt/download-sql-server-data-tools-ssdt
NEW QUESTION: 2
Answer:
Explanation:
Explanation
Box 1: READ UNCOMMITTED
Transactions running at the READ UNCOMMITTED level do not issue shared locks to prevent other transactions from modifying data read by the current transaction. READ UNCOMMITTED transactions are also not blocked by exclusive locks that would prevent the current transaction from reading rows that have been modified but not committed by other transactions. When this option is set, it is possible to read uncommitted modifications, which are called dirty reads. Values in the data can be changed and rows can appear or disappear in the data set before the end of the transaction.
Box 2: READ COMMITTED
READ COMMITTED specifies that statements cannot read data that has been modified but not committed by other transactions.
SERIALIZABLE specifies that statements cannot read data that has been modified but not yet committed by other transactions.
Box 3: REPEATABLE READ
REPEATABLE READ specifies that statements cannot read data that has been modified but not yet committed by other transactions and that no other transactions can modify data that has been read by the current transaction until the current transaction completes.
Box 4: SNAPSHOT
If READ_COMMITTED_SNAPSHOT is set to ON, the Database Engine uses row versioning to present each statement with a transactionally consistent snapshot of the data as it existed at the start of the statement.
References:
https://docs.microsoft.com/en-us/sql/t-sql/statements/set-transaction-isolation-level-transact-sql?view=sql-server
NEW QUESTION: 3
An organization manages a large cloud-deployed application that employs a microservices architecture. No notable issues occur with downtime because the services of this application are redundantly deployed over three or more data center regions. However, several times a week reports are received about application slowness. The container orchestration logs show faults in a variety of containers that cause them to fail and then spin up brand new.
Which action must be taken to improve the resiliency design of the application while maintaining current scale?
A. Add consistent "try/catch(exception)" clauses to the code.
B. Test the execution of the application with another cloud services platform.
C. Increase the number of containers running per service.
D. Update the base image of the containers.
Answer: D
NEW QUESTION: 4
A solutions architect is creating an application that will handle batch processing of large amounts of data. The input data will be held in Amazon S3 and the output data will be stored in a different S3 bucket. For processing, the application will transfer the data over the network between multiple Amazon EC2 instances.
What should the solutions architect do to reduce the overall data transfer costs?
A. Place all the EC2 instances in the same Availability Zone.
B. Place all the EC2 instances in private subnets in multiple Availability Zones.
C. Place all the EC2 instances in an Auto Scaling group.
D. Place all the EC2 instances in the same AWS Region.
Answer: D
Explanation:
There is no data transfer cost between eC2 & S3 with in same region.
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