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NEW QUESTION: 1
Hinweis: Diese Frage ist Teil einer Reihe von Fragen, die dasselbe Szenario darstellen. Jede Frage in der Reihe enthält eine eindeutige Lösung, mit der die angegebenen Ziele erreicht werden können. Einige Fragensätze haben möglicherweise mehr als eine richtige Lösung, während andere möglicherweise keine richtige Lösung haben.
Nachdem Sie eine Frage in diesem Abschnitt beantwortet haben, können Sie NICHT mehr darauf zurückgreifen. Infolgedessen werden diese Fragen nicht im Überprüfungsbildschirm angezeigt.
Sie haben einen Microsoft Azure Active Directory-Mandanten mit dem Namen contoso.com.
Sie erstellen einen Azure Advanced Threat Protection (ATP) -Arbeitsbereich mit dem Namen Workspace1.
Der Mandant enthält Benutzer, die in der folgenden Tabelle aufgeführt sind.

Sie müssen die Konfiguration der Azure ATP-Sensoren ändern.
Lösung: Sie weisen Benutzer1 an, die Azure ATP-Sensorkonfiguration zu ändern.
Erfüllt dies das Ziel?
A. Nein
B. Ja
Answer: B
Explanation:
Explanation
Only Azure ATP administrators can modify the sensors.
References:
https://docs.microsoft.com/en-us/azure-advanced-threat-protection/atp-role-groups

NEW QUESTION: 2
View the exhibit, which contains the partial output of an IKE real-time debug, and then answer the question below.

Why didn't the tunnel come up?
A. The pre-shared keys do not match.
B. The remote gateway's phase 2 configuration does not match the local gateway's phase 2 configuration.
C. The remote gateway's phase 1 configuration does not match the local gateway's phase 1 configuration.
D. The remote gateway is using aggressive mode and the local gateway is configured to use man mode.
Answer: C

NEW QUESTION: 3
Use the following login credentials as needed:
Azure Username: xxxxx
Azure Password: xxxxx
The following information is for technical support purposes only:
Lab Instance: 10543936

You need to double the available processing resources available to an Azure SQL data warehouse named datawarehouse.
To complete this task, sign in to the Azure portal.
NOTE: This task might take several minutes to complete. You can perform other tasks while the task completes or end this section of the exam.
Answer:
Explanation:
See the explanation below.
Explanation
SQL Data Warehouse compute resources can be scaled by increasing or decreasing data warehouse units.
1. Click SQL data warehouses in the left page of the Azure portal.
2. Select datawarehouse from the SQL data warehouses page. The data warehouse opens.
3. Click Scale.

4. In the Scale panel, move the slider left or right to change the DWU setting. Double the DWU setting.

6. Click Save. A confirmation message appears. Click yes to confirm or no to cancel.

Reference:
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/quickstart-scale-compute-portal

NEW QUESTION: 4
Flowlogistic Case Study
Company Overview
Flowlogistic is a leading logistics and supply chain provider. They help businesses throughout the world manage their resources and transport them to their final destination. The company has grown rapidly, expanding their offerings to include rail, truck, aircraft, and oceanic shipping.
Company Background
The company started as a regional trucking company, and then expanded into other logistics market. Because they have not updated their infrastructure, managing and tracking orders and shipments has become a bottleneck. To improve operations, Flowlogistic developed proprietary technology for tracking shipments in real time at the parcel level. However, they are unable to deploy it because their technology stack, based on Apache Kafka, cannot support the processing volume. In addition, Flowlogistic wants to further analyze their orders and shipments to determine how best to deploy their resources.
Solution Concept
Flowlogistic wants to implement two concepts using the cloud:
* Use their proprietary technology in a real-time inventory-tracking system that indicates the location of their loads
* Perform analytics on all their orders and shipment logs, which contain both structured and unstructured data, to determine how best to deploy resources, which markets to expand info. They also want to use predictive analytics to learn earlier when a shipment will be delayed.
Existing Technical Environment
Flowlogistic architecture resides in a single data center:
* Databases
* 8 physical servers in 2 clusters
* SQL Server - user data, inventory, static data
* 3 physical servers
* Cassandra - metadata, tracking messages
10 Kafka servers - tracking message aggregation and batch insert
* Application servers - customer front end, middleware for order/customs
* 60 virtual machines across 20 physical servers
* Tomcat - Java services
* Nginx - static content
* Batch servers
Storage appliances
* iSCSI for virtual machine (VM) hosts
* Fibre Channel storage area network (FC SAN) - SQL server storage
* Network-attached storage (NAS) image storage, logs, backups
* 10 Apache Hadoop /Spark servers
* Core Data Lake
* Data analysis workloads
* 20 miscellaneous servers
* Jenkins, monitoring, bastion hosts,
Business Requirements
* Build a reliable and reproducible environment with scaled panty of production.
* Aggregate data in a centralized Data Lake for analysis
* Use historical data to perform predictive analytics on future shipments
* Accurately track every shipment worldwide using proprietary technology
* Improve business agility and speed of innovation through rapid provisioning of new resources
* Analyze and optimize architecture for performance in the cloud
* Migrate fully to the cloud if all other requirements are met
Technical Requirements
* Handle both streaming and batch data
* Migrate existing Hadoop workloads
* Ensure architecture is scalable and elastic to meet the changing demands of the company.
* Use managed services whenever possible
* Encrypt data flight and at rest
* Connect a VPN between the production data center and cloud environment SEO Statement We have grown so quickly that our inability to upgrade our infrastructure is really hampering further growth and efficiency. We are efficient at moving shipments around the world, but we are inefficient at moving data around.
We need to organize our information so we can more easily understand where our customers are and what they are shipping.
CTO Statement
IT has never been a priority for us, so as our data has grown, we have not invested enough in our technology. I have a good staff to manage IT, but they are so busy managing our infrastructure that I cannot get them to do the things that really matter, such as organizing our data, building the analytics, and figuring out how to implement the CFO' s tracking technology.
CFO Statement
Part of our competitive advantage is that we penalize ourselves for late shipments and deliveries. Knowing where out shipments are at all times has a direct correlation to our bottom line and profitability. Additionally, I don't want to commit capital to building out a server environment.
Flowlogistic's management has determined that the current Apache Kafka servers cannot handle the data volume for their real-time inventory tracking system. You need to build a new system on Google Cloud Platform (GCP) that will feed the proprietary tracking software. The system must be able to ingest data from a variety of global sources, process and query in real-time, and store the data reliably. Which combination of GCP products should you choose?
A. Cloud Load Balancing, Cloud Dataflow, and Cloud Storage
B. Cloud Pub/Sub, Cloud SQL, and Cloud Storage
C. Cloud Pub/Sub, Cloud Dataflow, and Local SSD
D. Cloud Pub/Sub, Cloud Dataflow, and Cloud Storage
Answer: B