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NEW QUESTION: 1
An organization is reviewing endpoint security solutions. In evaluating products, the organization has the following requirements:
1. Support server, laptop, and desktop infrastructure
2. Due to limited security resources, implement active protection capabilities
3. Provide users with the ability to self-service classify information and apply policies
4. Protect data-at-rest and data-in-use
Which of the following endpoint capabilities would BEST meet the above requirements? (Select two.)
A. Antivirus
B. Endpoint detect and respond
C. Application whitelisting
D. Log monitoring
E. Rights management
F. Data loss prevention
Answer: B,E
NEW QUESTION: 2
DRAG DROP
You are developing a SQL Server Integration Services (SSIS) project by using the Project Deployment model.
The project contains many packages. It is deployed on a server named SQLTest1. The project will be deployed to several servers that run SQL Server 2016.
The project accepts one required parameter. The data type of the parameter is a string.
A SQL Agent job is created that will call the Loading.dtsx package in the project. A job step is created for the SSIS package.
The job must pass the value of an SSIS Environment Variable to the project parameter.
The value of the Environment Variable must be configured differently on each server that runs SQL Server. The value of the Environment Variable must provide the server name to the project parameter.
You need to configure SSIS on the SQLTest1 server to pass the Environment Variable to the package.
Which four actions should you perform in sequence by using SQL Server Management Studio?
(To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.)
Answer:
Explanation:
NEW QUESTION: 3
An online retailer is using Amazon DynamoDB to store data relate to customer transactions. The items in the table contain several string attributes describing the transaction as well as a JSON attribute containing the shopping cart and other details corresponding to the transactions. Average item size is ~250KB, most of which is associated with the JSON attribute. The average generates ~3GB of data per month.
Customers access the table to display their transaction history and review transaction details as needed. Ninety percent of 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 data.
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. 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
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. Modify all database calls to use eventually consistent reads and advise customers that transaction history may be one second out-of-date.
D. 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.
Answer: D