What is a key advantage of vector embeddings over one-hot encoding

They capture semantic relationships between words

What is an absolute pathname?

A path that specifies the location using environment variables

What happens when a user interacts with a widget in a Streamlit app, according to the execution model

The entire Python script re-runs from top to bottom

What is the primary purpose of using vector embeddings in natural language processing

To represent words or documents as numerical vectors in a continuous space

What is an absolute pathname?

A path that specifies the location using environment variables

LangChain is often described as a "wrapper around HTTP requests" to LLM providers. What does this mean in practice?

LangChain streamlines interaction with LLM APIs, handling the network calls

What do vector embeddings represent in the context of text processing?

High-dimensional representations capturing semantic meaning & relationships

How are LLMs mostly used these days in terms of access and deployment?

Mainly as cloud services accessed via LLM provider APIs.

When performing a "similarity search" on a vector store, what is being compared to find the most relevant results?

The numerical vector embeddings of the query and the stored documents.

In a RAG system, what happens when a user asks a question?

The system retrieves relevant documents to help the LLM generate answers.

How can you attach a service to a pre-existing network, like one created with docker network create my-net?

By defining the network under the networks key and setting external: true.

What is the main difference between a Docker image layer and a container layer?

Image layers are read-only and stacked; the container layer is ephemeral.

In a docker-compose.yml file, what does the services key define?

The individual containers that make up the application.

When a container with a volume is deleted, what happens to the data in the volume?

The data persists on the host machine.

What is a significant limitation of Streamlit's execution model for complex apps?

Streamlit reruns the script each time, impacting performance without state.

What is a common limitation imposed by "context limits" in LLMs?

The maximum length of text that an LLM can process at one time.

What is the primary goal of using a linter like flake8?

To check coded against style guides and find potential logic errors

By default, what network do all services defined in a docker-compose.yml file join?

A new, custom bridge network created specifically for the application.

What is the dimensionality of a vector embedding typically determined by?

The size of the embedding space chosen during training

How does Streamlit handle the state of widget between script re-runs

it remembers widget values automatically between re-runs

What is the primary purpose of "text embeddings" in the context of LLMs?

To transform text into numerical vectors that capture semantic meaning.

What is the purpose of Environment management in programming?

To manage different versions of libraries

What is the difference between statically typed and dynamically typed languages regarding type checking?

Static typing requires type declarion; dynamic typing checks during runtime

When you run "ssh-keygen" it creates two files ("id_ed25519" and "id_ed25519.pub") Which key should you upload to GitHub

The public key (id_ed25519.pub)

If two pieces of text are semantically very similar, what would be true about their text embeddings?

Their embeddings would be have a high cosine similarity

If a request to a FastAPI endpoint with a Pydantic model contains invalid data, what is the default behavior?

A detailed JSON error response is automatically returned.

Can type hints be used for custom classes you define in your project?

Yes, you can use your own class names as type hints.

what is the main benefit of using SSH keys with Github?

Enables secure, password-free communication.

What is the purpose of BaseModel in Pydantic?

It is the class that all Pydantic models should inherit from.

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African Talent Academy (Module 2)

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Questions 30

Answers

1
What is a key advantage of vector embeddings over one-hot encoding
They only work for English text
They capture semantic relationships between words
They require more memory
They are more expensive to compute
2
What is an absolute pathname?
A path that specifies the location using shortcuts
A path that specifies the location using environment variables
A path that specifies the complete path from the root directory
A path that specifies the location relative to the current directory
3
What happens when a user interacts with a widget in a Streamlit app, according to the execution model
A new instance of the app is created in a separate browser tab
The entire Python script re-runs from top to bottom
The script poses and waits for further use
Only part of the script related to the widget re-run
4
What is the primary purpose of using vector embeddings in natural language processing
To represent words or documents as numerical vectors in a continuous space
To generate HTML content
To translate languages directly
To compress images efficiently
5
What is an absolute pathname?
A path that specifies the location relative to the current directory
A path that specifies the complete path from the root directory
A path that specifies the location using environment variables
A path that specifies the location using shortcuts
6
LangChain is often described as a "wrapper around HTTP requests" to LLM providers. What does this mean in practice?
LangChain encrypts all communication with LLM APIs.
LangChain hosts its own versions of LLMs locally, bypassing API calls.
LangChain streamlines interaction with LLM APIs, handling the network calls
LangChain converts LLM responses into a different programming language.
7
What do vector embeddings represent in the context of text processing?
The pixel values of text rendered as images
High-dimensional representations capturing semantic meaning & relationships
The grammatical structure of sentences as mathematical trees
The frequency count of words in a document
8
How are LLMs mostly used these days in terms of access and deployment?
Mainly via open-source software anyone can freely use and modify.
Exclusively embedded directly into mobile applications for offline use.
Mainly by running large models entirely on personal desktop computers.
Mainly as cloud services accessed via LLM provider APIs.
9
When performing a "similarity search" on a vector store, what is being compared to find the most relevant results?
The numerical vector embeddings of the query and the stored documents.
The file sizes of the query and the stored documents.
The exact character strings of the query and the stored documents.
The creation dates of the query and the stored documents.
10
In a RAG system, what happens when a user asks a question?
The system randomly selects docs from a database to include in the response
The LLM generates an answer purely from its training data
The system retrieves relevant documents to help the LLM generate answers.
The LLM is fine-tuned in real-time on relevant documents
11
How can you attach a service to a pre-existing network, like one created with docker network create my-net?
It's not possible; Compose must manage all networks.
By using the connect command in the Docker Compose CLI.
By defining the network under the networks key and setting external: true.
By adding a network_mode: my-net to the service definition.
12
What is the main difference between a Docker image layer and a container layer?
Image layers hold app code; container layers hold system dependencies.
Image layers use Linux filesystems; container layers use Windows filesystem
Image layers are compressed; container layers uncompressed for faster acces
Image layers are read-only and stacked; the container layer is ephemeral.
13
In a docker-compose.yml file, what does the services key define?
The individual containers that make up the application.
The base images for the containers.
The volumes that will be used for persistent data.
The networks that the containers will connect to.
14
When a container with a volume is deleted, what happens to the data in the volume?
The data is automatically deleted with the container.
The data is archived in a compressed format.
The data becomes read-only.
The data persists on the host machine.
15
In the context of embeddings, what does cosine similarity measure?
The angle between two vectors
The area formed by two vectors
The product of two vectors
The difference in length between two vectors
16
What is a significant limitation of Streamlit's execution model for complex apps?
Streamlit cannot handle file uploads larger than 1MB
Streamlit only supports Python 3.8 and newer versions
Streamlit reruns the script each time, impacting performance without state.
Streamlit cannot connect to external databases or APIs
17
What is a common limitation imposed by "context limits" in LLMs?
The maximum length of text that an LLM can process at one time.
The geographic regions from which an LLM can be accessed.
The number of different topics an LLM can discuss simultaneously.
The maximum number of times an LLM can be queried in an hour.
18
What is the primary goal of using a linter like flake8?
To execute the python code and report run time errors
To check coded against style guides and find potential logic errors
To add typings automatically
To automatically rewrite code to a standard format
19
By default, what network do all services defined in a docker-compose.yml file join?
A new, custom bridge network created specifically for the application.
The host network, sharing the host's network interface.
The default bridge network provided by the Docker daemon.
No network; they are isolated until explicitly connected.
20
What is the dimensionality of a vector embedding typically determined by?
The number of characters in the word
The number of documents in the dataset
The number of training epochs
The size of the embedding space chosen during training
21
How does Streamlit handle the state of widget between script re-runs
it remembers widget values automatically between re-runs
All widgets' states are reset to their default on each re-run
It requires devs to save manually and load state using external files
State is only maintained if the dev uses a specific st.session_state object
22
What is the primary purpose of "text embeddings" in the context of LLMs?
To transform text into numerical vectors that capture semantic meaning.
To compress text files for efficient storage.
To encrypt text messages for secure communication.
To convert text into a visual representation for human interpretation.
23
What is the purpose of Environment management in programming?
To increase the speed of the code
To reduce the size of the code
To manage different versions of libraries
To improve the graphical interface
24
What is the difference between statically typed and dynamically typed languages regarding type checking?
Static typing has no type checking; dynamic typing checks everything
Static typing requires type declarion; dynamic typing checks during runtime
Static typing is only used in python; dynamic typing is only used in Java
Static typing checks type at runtime; dynamic typing checks before running
25
When you run "ssh-keygen" it creates two files ("id_ed25519" and "id_ed25519.pub") Which key should you upload to GitHub
The private key (id_ed25519)
The public key (id_ed25519.pub)
Both keys zipped together
Neither; GitHub generates keys for you
26
If two pieces of text are semantically very similar, what would be true about their text embeddings?
Their embeddings would be identical.
Their embeddings would contain only alphanumeric characters.
Their embeddings would be completely different.
Their embeddings would be have a high cosine similarity
27
If a request to a FastAPI endpoint with a Pydantic model contains invalid data, what is the default behavior?
The invalid data will be ignored.
The request is logged, but processing continues.
The application will crash.
A detailed JSON error response is automatically returned.
28
Can type hints be used for custom classes you define in your project?
Yes, but only within comments, not the official syntax.
Yes, you can use your own class names as type hints.
No, only built-in types like int, str, float are supported.
Only if the custom class inherits from a built-in type.
29
what is the main benefit of using SSH keys with Github?
Enables secure, password-free communication.
It enables the GitHub issues feature
It speeds the "git clone" process
It automatically creates backups of your repository
30
What is the purpose of BaseModel in Pydantic?
It provides methods for making HTTP requests.
It is used for defining database table structures.
It is the base class for all FastAPI applications.
It is the class that all Pydantic models should inherit from.

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