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NEW QUESTION: 1
DRAG DROP








Answer:
Explanation:

Explanation:

Box1: RETURNS TABLE
The function should return the following information:
- all customer information for the customer
- the total number of orders for the customer
- the total price of all orders for the customer
- the average quantity of items per order
Box 2: COUNT
The function should return the total number of orders for the customer.
Box 3: SUM
The function should return the total price of all orders for the customer.
Box 3. AVG
The function should return the average quantity of items per order.
Box 4: GROUP BY
Need to use GROUP BY for the aggregate functions.
References: https://msdn.microsoft.com/en-us/library/ms186755.aspx

NEW QUESTION: 2
You are a cybersecurity analyst tasked with interpreting scan data from Company A's servers. You must verify the requirements are being met for all of the servers and recommend changes if you find they are not.
The company's hardening guidelines indicate the following:
* TLS 1.2 is the only version of TLS running.
* Apache 2.4.18 or greater should be used.
* Only default ports should be used.
INSTRUCTIONS
Using the supplied data, record the status of compliance with the company's guidelines for each server.
The question contains two parts: make sure you complete Part 1 and Part 2. Make recommendations for issues based ONLY on the hardening guidelines provided.





Answer:
Explanation:
See explanation below.
Explanation
Part 1 answer:
Check on the following:
AppServ1 is only using TLS.1.2
AppServ4 is only using TLS.1.2
AppServ1 is using Apache 2.4.18 or greater
AppServ3 is using Apache 2.4.18 or greater
AppServ4 is using Apache 2.4.18 or greater
Part 2 answer:
Recommendation:
Recommendation is to disable TLS v1.1 on AppServ2 and AppServ3. Also upgrade AppServ2 Apache to version 2.4.48 from its current version of 2.3.48

NEW QUESTION: 3
Neuronale Netze sind wirksam bei der Aufdeckung von Betrug, weil sie Folgendes können:
A. Entdecken Sie neue Trends, da diese von Natur aus linear sind.
B. Lösen Sie Probleme, bei denen umfangreiche und allgemeine Trainingsdaten nicht verfügbar sind.
C. Angriffsprobleme, die die Berücksichtigung einer großen Anzahl von Eingabevariablen erfordern.
D. Nehmen Sie Annahmen über die Form einer Kurve vor, die Variablen mit der Ausgabe in Verbindung bringt.
Answer: C
Explanation:
Erläuterung:
Neuronale Netze können verwendet werden, um Probleme anzugreifen, die die Berücksichtigung zahlreicher Eingabevariablen erfordern. Sie sind in der Lage, Beziehungen und Muster zu erfassen, die von anderen statistischen Methoden häufig übersehen werden, entdecken jedoch keine neuen Trends. Neuronale Netze sind von Natur aus nichtlinear und lassen keine Annahme über die Form einer Kurve zu, die Variablen mit der Ausgabe in Verbindung bringt. Neuronale Netze eignen sich nicht gut zur Lösung von Problemen, für die keine ausreichend großen und allgemeinen Trainingsdaten verfügbar sind.