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NEW QUESTION: 1
Der Mann-Whitney-Test ist ein leistungsstarker Test und gilt nur für Situationen, aus denen eine der aufgeführten Optionen ausgewählt wurde. (Hinweis: Es gibt 2 richtige Antworten).
A. Testen der Identität von zwei Populationen
B. Weiter verbreitet als der traditionelle "T-Test"
C. Konzentriert sich auf die Gleichheit des Medians der beiden Populationen
D. Weniger leistungsfähig als der herkömmliche "T-Test"
Answer: B,C

NEW QUESTION: 2
Case Study: 4 - Dress4Win
Company Overview
Dress4win is a web-based company that helps their users organize and manage their personal wardrobe using a website and mobile application. The company also cultivates an active social network that connects their users with designers and retailers. They monetize their services through advertising, e-commerce, referrals, and a freemium app model.
Company Background
Dress4win's application has grown from a few servers in the founder's garage to several hundred servers and appliances in a colocated data center. However, the capacity of their infrastructure is now insufficient for the application's rapid growth. Because of this growth and the company's desire to innovate faster, Dress4win is committing to a full migration to a public cloud.
Solution Concept
For the first phase of their migration to the cloud, Dress4win is considering moving their development and test environments. They are also considering building a disaster recovery site, because their current infrastructure is at a single location. They are not sure which components of their architecture they can migrate as is and which components they need to change before migrating them.
Existing Technical Environment
The Dress4win application is served out of a single data center location.
Databases:
MySQL - user data, inventory, static data

Redis - metadata, social graph, caching

Application servers:
Tomcat - Java micro-services

Nginx - static content

Apache Beam - Batch processing

Storage appliances:
iSCSI for VM hosts

Fiber channel SAN - MySQL databases

NAS - image storage, logs, backups

Apache Hadoop/Spark servers:
Data analysis

Real-time trending calculations

MQ servers:
Messaging

Social notifications

Events

Miscellaneous servers:
Jenkins, monitoring, bastion hosts, security scanners

Business Requirements

Build a reliable and reproducible environment with scaled parity of production. Improve security by defining and adhering to a set of security and Identity and Access Management (IAM) best practices for cloud.
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
Evaluate and choose an automation framework for provisioning resources in cloud. Support failover of the production environment to cloud during an emergency. Identify production services that can migrate to cloud to save capacity.
Use managed services whenever possible.
Encrypt data on the wire and at rest.
Support multiple VPN connections between the production data center and cloud environment.
CEO Statement
Our investors are concerned about our ability to scale and contain costs with our current infrastructure. They are also concerned that a new competitor could use a public cloud platform to offset their up-front investment and freeing them to focus on developing better features.
CTO Statement
We have invested heavily in the current infrastructure, but much of the equipment is approaching the end of its useful life. We are consistently waiting weeks for new gear to be racked before we can start new projects. Our traffic patterns are highest in the mornings and weekend evenings; during other times, 80% of our capacity is sitting idle.
CFO Statement
Our capital expenditure is now exceeding our quarterly projections. Migrating to the cloud will likely cause an initial increase in spending, but we expect to fully transition before our next hardware refresh cycle. Our total cost of ownership (TCO) analysis over the next 5 years puts a cloud strategy between 30 to 50% lower than our current model.
You want to ensure Dress4Win's sales and tax records remain available for infrequent viewing by auditors for at least 10 years.
Cost optimization is your top priority.
Which cloud services should you choose?
A. Google Cloud Storage Coldline to store the data, and gsutil to access the data.
B. Google Bigtabte with US or EU as location to store the data, and gcloud to access the data.
C. Google Cloud Storage Nearline to store the data, and gsutil to access the data.
D. BigQuery to store the data, and a web server cluster in a managed instance group to access the data.
Google Cloud SQL mirrored across two distinct regions to store the data, and a Redis cluster in a managed instance group to access the data.
Answer: A
Explanation:
https://cloud.google.com/storage/docs/storage-classes

NEW QUESTION: 3
You plan to deploy 20 Microsoft Azure SQL Database instances to an elastic pool in Azure to support a batch processing application.
Two of the databases in the pool reach their peak workload threshold at the same time every day. This leads to inconsistent performance for batch completion.
You need to ensure that all batches perform consistently.
What should you do?
A. Increase the storage limit in the pool.
B. Increase the total number of elastic Database Transaction Units (eDTUs) in the pool.
C. Create an In-Memory table.
D. Implement a readable secondary database.
Answer: B
Explanation:
Explanation/Reference:
Explanation:
In SQL Database, the relative measure of a database's ability to handle resource demands is expressed in Database Transaction Units (DTUs) for single databases and elastic DTUs (eDTUs) for databases in an elastic pool.
A pool is given a set number of eDTUs, for a set price. Within the pool, individual databases are given the flexibility to auto-scale within set parameters. Under heavy load, a database can consume more eDTUs to meet demand.
Additional eDTUs can be added to an existing pool with no database downtime.
References: https://docs.microsoft.com/en-us/azure/sql-database/sql-database-elastic-pool

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