Free Access to Oracle.1Z0-1122-25.v2025-07-28.q15 with Valid Practice Test (Page 2)

Request Exam Contact

Home
View All Exams
New QA's
Upload

PRACTICE EXAMS:

Oracle
Fortinet
Juniper
Microsoft
Cisco
Citrix
CompTIA
VMware
SAP
EMC
PMI
HP
Salesforce
Other

Oracle
Fortinet
Juniper
Microsoft
Cisco
Citrix
CompTIA
VMware
SAP
EMC
PMI
HP
Salesforce

Home
Oracle Certification
1Z0-1122-25 Exam
Oracle.1Z0-1122-25.v2025-07-28.q15 Dumps

«
1
2
3
4
»

Question 1

What is a key advantage of using dedicated AI clusters in the OCI Generative AI service?

A.They allow access to unlimited database resources.
B.They are free of charge for all users.
C.They provide high performance compute resources for fine-tuning tasks.
D.They provide faster internet connection speeds.

Correct Answer: C

The primary advantage of using dedicated AI clusters in the Oracle Cloud Infrastructure (OCI) Generative AI service is the provision of high-performance compute resources that are specifically optimized for fine-tuning tasks. Fine-tuning is a critical step in the process of adapting pre-trained models to specific tasks, and it requires significant computational power. Dedicated AI clusters in OCI are designed to deliver the necessary performance and scalability to handle the intense workloads associated with fine-tuning large language models (LLMs) and other AI models, ensuring faster processing and more efficient training.

Comment: *

Name: *

Email: *

Verification: *

insert code

Question 2

What is the purpose of Attention Mechanism in Transformer architecture?

A.Weigh the importance of different words within a sequence and understand the context.
B.Convert tokens into numerical forms (vectors) that the model can understand.
C.Break down a sentence into smaller pieces called tokens.
D.Apply a specific function to each word individually.

Correct Answer: A

The purpose of the Attention Mechanism in Transformer architecture is to weigh the importance of different words within a sequence and understand the context. In essence, the attention mechanism allows the model to focus on specific parts of the input sequence when producing an output, which is crucial for understanding context and maintaining coherence over long sequences. It does this by assigning different weights to different words in the sequence, enabling the model to capture relationships between words that are far apart and to emphasize relevant parts of the input when generating predictions.
Top of Form
Bottom of Form

Comment: *

Name: *

Email: *

Verification: *

insert code

Question 3

Which feature is NOT available as part of OCI Speech capabilities?

A.Uses extensive data science experience to operate
B.Provides timestamped, grammatically accurate transcriptions
C.Transcribes audio and video files into text
D.Supports multiple languages including English, Spanish, and Portuguese

Correct Answer: A

OCI Speech capabilities are designed to be user-friendly and do not require extensive data science experience to operate. The service provides features such as transcribing audio and video files into text, offering grammatically accurate transcriptions, supporting multiple languages, and providing timestamped outputs. These capabilities are built to be accessible to a broad range of users, making speech-to-text conversion seamless and straightforward without the need for deep technical expertise.

Comment: *

Name: *

Email: *

Verification: *

insert code

Question 4

Which AI Ethics principle leads to the Responsible AI requirement of transparency?

A.Explicability
B.Prevention of harm
C.Respect for human autonomy
D.Fairness

Correct Answer: A

Explicability is the AI Ethics principle that leads to the Responsible AI requirement of transparency. This principle emphasizes the importance of making AI systems understandable and interpretable to humans. Transparency is a key aspect of explicability, as it ensures that the decision-making processes of AI systems are clear and comprehensible, allowing users to understand how and why a particular decision or output was generated. This is critical for building trust in AI systems and ensuring that they are used responsibly and ethically.
Top of Form
Bottom of Form

Comment: *

Name: *

Email: *

Verification: *

insert code

Question 5

You are working on a multilingual public announcement system. Which AI task will you use to implement it?

A.Speech recognition
B.Text summarization
C.Audio recording
D.Text to speech

Correct Answer: D

For a multilingual public announcement system, the AI task that would be most relevant is "Text to Speech" (TTS). This task involves converting written text into spoken words, which can then be broadcasted over public address systems in multiple languages.
Text to Speech technology is crucial for creating accessible and understandable announcements in different languages, especially in environments like airports, train stations, or public events where clear verbal communication is essential. The TTS system would be configured to support multiple languages, allowing it to deliver announcements to diverse audiences effectively .

Comment: *

Name: *

Email: *

Verification: *

insert code

«
1
2
3
4
»

[×]

Download PDF File

Enter your email address to download Oracle.1Z0-1122-25.v2025-07-28.q15 Dumps

Email:

Our website provides the Largest and the most Latest vendors Certification Exam materials around the world.

Using dumps we provide to Pass the Exam, we has the Valid Dumps with passing guranteed just which you need.

DMCA
About
Contact Us
Privacy Policy
Terms & Conditions

©2025 FreeQAs

www.freeqas.com materials do not contain actual questions and answers from Cisco's certification exams.

Web Analytics Made Easy - Statcounter