: Manish Soni
: Azure AI Data Scientists Associate DP 100
: Poorav Publications
: 9789369911950
: 1
: CHF 7.50
:
: Sonstiges
: English
: 108
: DRM
: PC/MAC/eReader/Tablet
: ePUB

Azure AI Data Scientists Associate DP 100 Certification Guide is a meticulously structured resource designed to equip professionals with the knowledge and expertise necessary to harness the full potential of Azure's artificial intelligence and machine learning capabilities. In today's data-driven world, organizations increasingly rely on AI-driven solutions to enhance decision-making and drive innovation. This certification serves as a validation of proficiency in designing, building, training, and deploying machine learning models at scale using Microsoft Azure. Covering essential topics such as data preparation, model training, deployment strategies, and the implementation of machine learning workloads, this guide provides a comprehensive foundation for professionals seeking to establish or advance their careers in AI and data science.


Beyond theoretical knowledge, this book emphasizes hands-on learning, enabling candidates to engage with real-world scenarios and practical exercises that mirror industry challenges. By systematically navigating the complexities of Azure AI services, candidates will develop the skills necessary to design intelligent solutions that address complex business problems. Whether you are a seasoned data professional looking to enhance your expertise or an aspiring data scientist embarking on a new journey, Microsoft Azure AI Data Scientists Associate (DP-100) Certification Guide serves as a definitive companion, reinforcing your technical capabilities and preparing you for certification success. We trust that the knowledge and skills gained through this book will empower you to excel in the field of artificial intelligence and drive meaningful innovation in your professional endeavors.

Chapter 2: Questions of Microsoft Azure Data Scientist Associate Exam DP-100 Part 1


 

Question 1. You need to implement a Data Science Virtual Machine (DSVM) that supports the Caffe2 deep learning framework.

Which of the following DSVM should you create?

A. Windows Server 2012 DSVM

B. Windows Server 2016 DSVM

C. Ubuntu 16.04 DSVM

D. CentOS 7.4 DSVM

 

Answer: C

 

Question 2. This question is included in a number of questions that depicts the identical set-up. However, every question has a distinctive result. Establish if the recommendation satisfies the requirements.

You have been tasked with employing a machine learning model, which makes use of a PostgreSQL database and needs GPU processing, to forecast prices.

You are preparing to create a virtual machine that has the necessary tools built into it.

You need to make use of the correct virtual machine type.

Recommendation: You make use of a Geo AI Data Science Virtual Machine (Geo-DSVM) Windows edition.

Will the requirements be satisfied?

A. Yes

B. No

 

Answer: B

 

Question 3. This question is included in a number of questions that depicts the identical set-up. However, every question has a distinctive result. Establish if the recommendation satisfies the requirements.

You have been tasked with employing a machine learning model, which makes use of a PostgreSQL database and needs GPU processing, to forecast prices.

You are preparing to create a virtual machine that has the necessary tools built into it.

You need to make use of the correct virtual machine type.

Recommendation: You make use of a Deep Learning Virtual Machine (DLVM) Windows edition.

Will the requirements be satisfied?

A. Yes

B. No

 

Answer: B

 

Question 4. This question is included in a number of questions that depicts the identical set-up. However, every question has a distinctive result. Establish if the recommendation satisfies the requirements.

You have been tasked with employing a machine learning model, which makes use of a PostgreSQL database and needs GPU processing, to forecast prices.

You are preparing to create a virtual machine that has the necessary tools built into it.

You need to make use of the correct virtual machine type.

Recommendation: You make use of a Data Science Virtual Machine (DSVM) Windows edition.

Will the requirements be satisfied?

A. Yes

B. No

 

Answer: A

 

Question 5. You have been tasked with designing a deep learning model, which accommodates the most recent edition of Python, to recognize language.

You have to include a suitable deep learning framework in the Data Science Virtual Machine (DSVM).

Which of the following actions should you take?

A. You should consider including Rattle.

B. You should consider including TensorFlow.

C. You should consider including Theano.

D. You should consider including Chainer.

 

Answer: B

 

Question 6. This question is included in a number of questions that depicts the identical set-up. However, every question has a distinctive result. Establish if the recommendation satisfies the requirements.

You have been tasked with evaluating your model on a partial data sample via k-fold cross-validation.

You have already configured a k parameter as the number of splits. You now have to configure the k parameter for the cross-validation with the usual value choice.

Recommendation: You configure the use of the value k=3.

Will the requirements