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NEW QUESTION: 1
An online retailer is using Amazon DynamoDB to store data related to customer transactions. The items in the table contains several string attributes describing the transaction as well as a JSON attribute containing the shopping cart and other details corresponding to the transaction. Average item size is ?250KB, most of which is associated with the JSON attribute. The average customer generates ?3GB of data per month.
Customers access the table to display their transaction history and review transaction details as needed. Ninety percent of the queries against the table are executed when building the transaction history view, with the other 10% retrieving transaction details. The table is partitioned on CustomerID and sorted on transaction date.
The client has very high read capacity provisioned for the table and experiences very even utilization, but complains about the cost of Amazon DynamoDB compared to other NoSQL solutions.
Which strategy will reduce the cost associated with the client's read queries while not degrading quality?
A. Modify all database calls to use eventually consistent reads and advise customers that transaction history may be one second out-of-date.
B. Change the primary table to partition on TransactionID, create a GSI partitioned on customer and sorted on date, project small attributes into GSI, and then query GSI for summary data and the primary table for JSON details.
C. Vertically partition the table, store base attributes on the primary table, and create a foreign key reference to a secondary table containing the JSON data. Query the primary table for summary data and the secondary table for JSON details.
D. Create an LSI sorted on date, project the JSON attribute into the index, and then query the primary table for summary data and the LSI for JSON details.
Answer: D
NEW QUESTION: 2
You need to optimize SRV1.
What configuration changes should you implement? To answer, select the appropriate option from each list in the answer area.
Answer:
Explanation:
Explanation:
From the scenario: SRV1 has 16 logical cores and hosts a SQL Server instance that supports a mission-critical application. The application hasapproximately 30,000 concurrent users and relies heavily on the use of temporary tables.
Box 1: Change the size of the tempdb log file.
The size and physical placement of the tempdb database can affect the performance of a system. For example, if the size that is defined for tempdb is too small, part of the system-processing load may be taken up with autogrowing tempdb to the size required to support the workload every time you restart the instance of SQL Server. You can avoid this overhead by increasing the sizes of the tempdb data and log file.
Box 2: Add additional tempdb files.
Create as many files as needed to maximize disk bandwidth. Using multiple files reduces tempdb storage contention and yields significantly better scalability. However, do not create too many files because this can reduce performance and increase management overhead. As a general guideline, create one data file for each CPU on the server (accounting for any affinity mask settings) and then adjust the number of files up or down as necessary.
Topic 2, Contoso, Ltd Case Study
Background
You are the database administrator for Contoso, Ltd. The company has 200 offices around the world. The company has corporate executives that are located in offices in London, New York, Toronto, Sydney, and Tokyo.
Contoso, Ltd. has a Microsoft Azure SQL Database environment. You plan to deploy a new Azure SQL Database to support a variety of mobile applications and public websites.
The company is deploying a multi-tenant environment. The environment will host Azure SQL Database instances. The company plans to make the instances available to internal departments and partner companies. Contoso is in the final stages of setting up networking and communications for the environment.
Existing Contoso and Customer instances need to be migrated to Azure virtual machines (VM) according to the following requirements:
The company plans to deploy a new order entry application and a new business intelligence and analysis application. Each application will be supported by a new database. Contoso creates a new Azure SQL database named Reporting. The database will be used to support the company's financial reporting requirements. You associate the database with the Contoso Azure Active Directory domain.
Each location database for the data entry application may have an unpredictable amount of activity. Data must be replicated to secondary databases in Azure datacenters in different regions.
To support the application, you need to create a database named contosodb1 in the existing environment.
Objects
Database
The contosodb1 database must support the following requirements:
Application
For the business intelligence application, corporate executives must be able to view all data in near real-time with low network latency.
Contoso has the following security, networking, and communications requirements:
NEW QUESTION: 3
Which two actions would be part of an automatic solution that would block sites with untrusted certificates without enabling SSL Forward Proxy? (Choose two.)
A. Configure an EDL to pull IP addresses of known sites resolved from a CRL.
B. Enable the "Block sessions with untrusted issuers" setting.
C. Create a Security Policy rule with vulnerability Security Profile attached.
D. Create a Dynamic Address Group for untrusted sites
E. Create a no-decrypt Decryption Policy rule.
Answer: B,C