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NEW QUESTION: 1
Warum werden Paketfilterrouter in Umgebungen mit geringem Risiko verwendet?
A. Sie sind schnell und flexibel und schützen vor IP-Spoofing (Internet Protocol).
B. Sie erzwingen eine starke Benutzerauthentifizierung und die Generierung von Überwachungsaufgaben.
C. Sie sind hochauflösende Tools zur Unterscheidung und Identifizierung von Quellen.
D. Sie sind schnell, flexibel und transparent.
Answer: A

NEW QUESTION: 2
What is a characteristic of a next-generation firewall?
A. filters traffic using Layer 3 and Layer 4 information only
B. required in each layer of the network
C. provides intrusion prevention
D. only required at the network perimeter
Answer: C
Explanation:
Explanation
A next generation firewall adds additional features such as application control, integrated intrusion prevention (IPS) and often more advanced threat prevention capabilities like sandboxing.

NEW QUESTION: 3
You need to recommend a platform architecture for a big data solution that meets the following requirements:
Supports batch processing
Provides a holding area for a 3-petabyte (PB) dataset
Minimizes the development effort to implement the solution
Provides near real time relational querying across a multi-terabyte (TB) dataset Which two platform architectures should you include in the recommendation? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. a Microsoft Azure HDInsight Storm cluster
B. Microsoft Azure Table Storage
C. a Microsoft Azure SQL data warehouse
D. a Microsoft SQL Server database
E. a Microsoft Azure HDInsight Hadoop cluster
Answer: B,C
Explanation:
A: Azure SQL Data Warehouse is a SQL-based, fully-managed, petabyte-scale cloud data warehouse. It's highly elastic, and it enables you to set up in minutes and scale capacity in seconds. Scale compute and storage independently, which allows you to burst compute for complex analytical workloads, or scale down your warehouse for archival scenarios, and pay based on what you're using instead of being locked into predefined cluster configurations-and get more cost efficiency versus traditional data warehouse solutions.
E: Use Azure Table storage to store petabytes of semi-structured data and keep costs down. Unlike many data stores-on-premises or cloud-based-Table storage lets you scale up without having to manually shard your dataset. Perform OData-based queries.