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NEW QUESTION: 1
HOTSPOT
You configure alerts in Azure. The metrics shown in the following exhibit represent the average values for each five-minute period.

To answer, make the appropriate selections in the answer area.

Answer:
Explanation:

NEW QUESTION: 2
You implement an event processing solution using Microsoft Azure Stream Analytics.
The solution must meet the following requirements:
*Ingest data from Blob storage
* Analyze data in real time
*Store processed data in Azure Cosmos DB
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:
Explanation:
Explanation

Step 1: Configure Blob storage as input; select items with the TIMESTAMP BY clause The default timestamp of Blob storage events in Stream Analytics is the timestamp that the blob was last modified, which is BlobLastModifiedUtcTime. To process the data as a stream using a timestamp in the event payload, you must use the TIMESTAMP BY keyword.
Example:
The following is a TIMESTAMP BY example which uses the EntryTime column as the application time for events:
SELECT TollId, EntryTime AS VehicleEntryTime, LicensePlate, State, Make, Model, VehicleType, VehicleWeight, Toll, Tag FROM TollTagEntry TIMESTAMP BY EntryTime Step 2: Set up cosmos DB as the output Creating Cosmos DB as an output in Stream Analytics generates a prompt for information as seen below.

Step 3: Create a query statement with the SELECT INTO statement.
References:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-define-inputs

NEW QUESTION: 3
Sie haben ein Microsoft 365-Abonnement.
Sie haben kürzlich einen Microsoft SharePoint Online-Mandanten im Abonnement konfiguriert.
Sie planen, eine Warnungsrichtlinie zu erstellen.
Sie müssen sicherstellen, dass eine Warnung nur generiert wird, wenn innerhalb von 10 Minuten in mehr als fünf in SharePoint Online gespeicherten Dokumenten Malware erkannt wird.
Was solltest du zuerst tun?
A. Aktivieren Sie Microsoft Office 365 Analytics.
B. Aktivieren Sie die Microsoft Office 365 Cloud App-Sicherheit.
C. Stellen Sie den erweiterten Windows Defender-Bedrohungsschutz (Windows Defender ATP) bereit.
Answer: C
Explanation:
Explanation
An alert policy consists of a set of rules and conditions that define the user or admin activity that generates an alert, a list of users who trigger the alert if they perform the activity, and a threshold that defines how many times the activity has to occur before an alert is triggered.
In this question, we would use the "Malware detected in file" activity in the alert settings then configure the threshold (5 detections) and the time window (10 minutes).
The ability to configure alert policies based on a threshold or based on unusual activity requires Advanced Threat Protection (ATP).
Reference:
https://docs.microsoft.com/en-us/microsoft-365/compliance/alert-policies

NEW QUESTION: 4
A smart home automation company must efficiently ingest and process messages from various connected devices and sensors. The majority of these messages are comprised of a large number of small files. These messages are ingested using Amazon Kinesis Data Streams and sent to Amazon S3 using a Kinesis data stream consumer application. The Amazon S3 message data is then passed through a processing pipeline built on Amazon EMR running scheduled PySpark jobs.
The data platform team manages data processing and is concerned about the efficiency and cost of downstream data processing. They want to continue to use PySpark.
Which solution improves the efficiency of the data processing jobs and is well architected?
A. Launch an Amazon Redshift cluster. Copy the collected data from Amazon S3 to Amazon Redshift and move the data processing jobs from Amazon EMR to Amazon Redshift.
B. Set up an AWS Lambda function with a Python runtime environment. Process individual Kinesis data stream messages from the connected devices and sensors using Lambda.
C. Send the sensor and devices data directly to a Kinesis Data Firehose delivery stream to send the data to Amazon S3 with Apache Parquet record format conversion enabled. Use Amazon EMR running PySpark to process the data in Amazon S3.
D. Set up AWS Glue Python jobs to merge the small data files in Amazon S3 into larger files and transform them to Apache Parquet format. Migrate the downstream PySpark jobs from Amazon EMR to AWS Glue.
Answer: C