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NEW QUESTION: 1
Note: This question is part of series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have an Azure Cosmos DB database that contains a container named Container1. The partition key for Container1 is set to /day. Container1 contains the items shown in the following table.

You need to programmatically query Azure Cosmos DB and retrieve item1 and item2 only.
Solution: You run the following query.

You set the EnableCrossPartitionQuery property to True.
Does this meet the goal?
A. No
B. Yes
Answer: B

NEW QUESTION: 2
What can the SMTP preprocessor in FirePOWER normalize?
A. It can forward the SMTP traffic to an email filter server.
B. It can look up the email sender.
C. It can extract and decode email attachments in client to server traffic.
D. It uses the Traffic Anomaly Detector.
E. It compares known threats to the email sender.
Answer: C
Explanation:
Explanation
Decoding SMTP Traffic
The SMTP preprocessor instructs the rules engine to normalize SMTP commands. The preprocessor can also
extract and decode email attachments in client-to-server traffic and, depending on the software version, extract
email file names, addresses, and header data to provide context when displaying intrusion events triggered by
SMTP traffic.
Source:
http://www.cisco.com/c/en/us/td/docs/security/firesight/541/firepower-module-user-guide/asa-firepower-
module-user-guide-v541/NAP-App-Layer.html#85623

NEW QUESTION: 3
CORRECT TEXT
You have an XML schema collection named Sales.InvoiceSchema.
You need to declare a variable of the XML type named invoice. The solution must ensure
that the invoice is validated by using Sales.InvoiceSchema.
Provide the correct code in the answer area.
Answer:
Explanation:
DECLARE
@invoice XML(Sales.InvoiceSchema)

NEW QUESTION: 4
A Solutions Architect must design an Amazon DynamoDB table to store data about customer activities. The data is used to analyze recent customer behavior, so data that is less than a week old is heavily accessed and older data is accessed infrequently. Data that is more than one month old never needs to be referenced by the application, but needs to be archived for year-end analytics.
What is the MOST cost-efficient way to meet these requirements? (Choose two.)
A. Create separate tables for each week's data with higher throughput for the current week.
B. Provision a higher write capacity unit to minimize the number of partitions.
C. Pre-process data to consolidate multiple records to minimize write operations.
D. Export the old table data from DynamoDB to Amazon S3 using AWS Data Pipeline, and delete the old table.
E. Use DynamoDB time-to-live settings to expire items after a certain time period.
Answer: A,D
Explanation:
AWS Data Pipeline is a web service that you can use to automate the movement and transformation of data. With AWS Data Pipeline, you can define data-driven workflows, so that tasks can be dependent on the successful completion of previous tasks. You define the parameters of your data transformations and AWS Data Pipeline enforces the logic that you've set up.
https://docs.aws.amazon.com/datapipeline/latest/DeveloperGuide/what-is-datapipeline.html
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/best-practices.html