Amazon
Avaya
Checkpoint
Cisco®
CompTIA
CrowdStrike
EC-Council
EXIN
Fortinet
Google
ISC
ISC2
ITIL®
Juniper
Microsoft
MuleSoft
Okta
Oracle
Palo Alto Networks
Salesforce
All Vendors
  1. Home
  2. Oracle
  3. 1Z0-1122-23

Oracle 1Z0-1122-23 Exam (page: 1)
Oracle Cloud Infrastructure 2023 AI Foundations Associate
Updated on: 28-Sep-2025

Viewing Page 1 of 7
1Z0-1122-23 PDF 30 Questions

In machine learning, what does the term "model training" mean?

  1. Analyzing the accuracy of a trained model
  2. Establishing a relationship between Input features and output
  3. Writing code for the entire program
  4. Performing data analysis on collected and labeled data

Answer(s): B

Explanation:

Model training is the process of finding the optimal values for the model parameters that minimize the error between the model predictions and the actual output. This is done by using a learning algorithm that iteratively updates the parameters based on the input features and the output.


Reference:

Oracle Cloud Infrastructure Documentation



What is the primary goal of machine learning?

  1. Enabling computers to learn and improve from experience
  2. Explicitly programming computers
  3. Creating algorithms to solve complex problems
  4. Improving computer hardware

Answer(s): A

Explanation:

Machine learning is a branch of artificial intelligence that enables computers to learn from data and experience without being explicitly programmed. Machine learning algorithms can adapt to new data and situations and improve their performance over time.


Reference:

Artificial Intelligence (AI) | Oracle



What role do tokens play in Large Language Models (LLMs)?

  1. They represent the numerical values of model parameters.
  2. They are used to define the architecture of the model's neural network.
  3. They are Individual units into which a piece of text is divided during processing by the model.
  4. They determine the size of the model's memory.

Answer(s): C

Explanation:

Tokens are the basic units of text representation in large language models. They can be words, subwords, characters, or symbols. Tokens are used to encode the input text into numerical vectors that can be processed by the model's neural network. Tokens also determine the vocabulary size and the maximum sequence length of the model.


Reference:

Oracle Cloud Infrastructure 2023 AI Foundations Associate | Oracle University



How do Large Language Models (LLMs) handle the trade-off between model size, data quality, data size and performance?

  1. They ensure that the model size, training time, and data size are balanced for optimal results.
  2. They disregard model size and prioritize high-quality data only.
  3. They focus on increasing the number of tokens while keeping the model size constant.
  4. They prioritize larger model sizes to achieve better performance.

Answer(s): D

Explanation:

Large language models are trained on massive amounts of data to capture the complexity and diversity of natural language. Larger model sizes mean more parameters, which enable the model to learn more patterns and nuances from the data. Larger models also tend to generalize better to new tasks and domains. However, larger models also require more computational resources, data quality, and data size to train and deploy. Therefore, large language models handle the trade-off by prioritizing larger model sizes to achieve better performance, while using various techniques to optimize the training and inference efficiency.


Reference:

Artificial Intelligence (AI) | Oracle



What is the purpose of Attention Mechanism in Transformer architecture?

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

Answer(s): D

Explanation:

The attention mechanism in the Transformer architecture is a technique that allows the model to focus on the most relevant parts of the input and output sequences. It computes a weighted sum of the input or output embeddings, where the weights indicate how much each word contributes to the representation of the current word. The attention mechanism helps the model capture the long- range dependencies and the semantic relationships between words in a sequence.


Reference:

The Transformer Attention Mechanism - MachineLearningMastery.com, Attention Mechanism in the Transformers Model - Baeldung



Viewing Page 1 of 7



Share your comments for Oracle 1Z0-1122-23 exam with other users:

Finn 5/4/2023 10:21:00 PM

i appreciated the mix of multiple-choice and short answer questions. i passed my exam this morning.
IRLAND


AJ 7/13/2023 8:33:00 AM

great to find this website, thanks
UNITED ARAB EMIRATES


Curtis Nakawaki 6/29/2023 9:11:00 PM

examination questions seem to be relevant.
UNITED STATES


Umashankar Sharma 10/22/2023 9:39:00 AM

planning to take psm test
Anonymous


ED SHAW 7/31/2023 10:34:00 AM

please allow to download
UNITED STATES


AD 7/22/2023 11:29:00 AM

please provide dumps
UNITED STATES


Ayyjayy 11/6/2023 7:29:00 AM

is the answer to question 15 correct ? i feel like the answer should be b
BAHRAIN


Blessious Phiri 8/12/2023 11:56:00 AM

its getting more technical
Anonymous


Jeanine J 7/11/2023 3:04:00 PM

i think these questions are what i need.
UNITED STATES


Aderonke 10/23/2023 2:13:00 PM

helpful assessment
UNITED KINGDOM


Tom 1/5/2024 2:32:00 AM

i am confused about the answers to the questions. do you know if the answers are correct?
KOREA REPUBLIC OF


Vinit N. 8/28/2023 2:33:00 AM

hi, please make the dumps available for my upcoming examination.
UNITED STATES


Sanyog Deshpande 9/14/2023 7:05:00 AM

good practice
UNITED STATES


Tyron 9/8/2023 12:12:00 AM

so far it is really informative
Anonymous


beast 7/30/2023 2:22:00 PM

hi i want it please please upload it
Anonymous


Mirex 5/26/2023 3:45:00 AM

am preparing for exam ,just nice questions
Anonymous


exampei 8/7/2023 8:05:00 AM

please upload c_tadm_23 exam
TURKEY


Anonymous 9/12/2023 12:50:00 PM

can we get tdvan4 vantage data engineering pdf?
UNITED STATES


Aish 10/11/2023 5:51:00 AM

want to clear the exam.
INDIA


Smaranika 6/22/2023 8:42:00 AM

could you please upload the dumps of sap c_sac_2302
INDIA


Blessious Phiri 8/15/2023 1:56:00 PM

asm management configuration is about storage
Anonymous


Lewis 7/6/2023 8:49:00 PM

kool thumb up
UNITED STATES


Moreece 5/15/2023 8:44:00 AM

just passed the az-500 exam this last friday. most of the questions in this exam dumps are in the exam. i bought the full version and noticed some of the questions which were answered wrong in the free version are all corrected in the full version. this site is good but i wish the had it in an interactive version like a test engine simulator.
Anonymous


Terry 5/24/2023 4:41:00 PM

i can practice for exam
Anonymous


Emerys 7/29/2023 6:55:00 AM

please i need this exam.
Anonymous


Goni Mala 9/2/2023 12:27:00 PM

i need the dump
Anonymous


Lenny 9/29/2023 11:30:00 AM

i want it bad, even if cs6 maybe retired, i want to learn cs6
HONG KONG


MilfSlayer 12/28/2023 8:32:00 PM

i hate comptia with all my heart with their "choose the best" answer format as an argument could be made on every question. they say "the "comptia way", lmao no this right here boys is the comptia way 100%. take it from someone whos failed this exam twice but can configure an entire complex network that these are the questions that are on the test 100% no questions asked. the pbqs are dead on! nice work
Anonymous


Swati Raj 11/14/2023 6:28:00 AM

very good materials
UNITED STATES


Ko Htet 10/17/2023 1:28:00 AM

thanks for your support.
Anonymous


Philippe 1/22/2023 10:24:00 AM

iam impressed with the quality of these dumps. they questions and answers were easy to understand and the xengine app was very helpful to use.
CANADA


Sam 8/31/2023 10:32:00 AM

not bad but you question database from isaca
MALAYSIA


Brijesh kr 6/29/2023 4:07:00 AM

awesome contents
INDIA


JM 12/19/2023 1:22:00 PM

answer to 134 is casb. while data loss prevention is the goal, in order to implement dlp in cloud applications you need to deploy a casb.
UNITED STATES