How many Fill in Blank questions are in this list?

66 questions are published in this slice right now (out of 100 requested). More land as our curation team publishes them.

Are these real AI interview questions?

Yes. Every question is sourced from real AI interview reports across companies like OpenAI, Anthropic, Google, Microsoft, and Cohere, then reviewed by senior AI engineers for accuracy.

Do these questions come with detailed answers?

Yes. Every entry links to a full answer with explanations, hints, key tradeoffs, and recommended follow up questions. Most also include difficulty ratings and community quality scores.

How is the ranking calculated?

Questions are sorted by community quality score, with rating count as the tiebreaker, then difficulty (easier first). Quality scores come from interview candidates rating each question after working through it.

Where can I find more Fill in Blank questions?

Beyond this Top 66 list, the full Fill in Blank library on Zenaique includes every published question, filterable by format, difficulty, role, and experience level.

Curated · Fill in Blank

Top 100 Fill in Blank Interview Questions

Here are the top 66 AI interview questions in Fill in Blank format, sorted by community quality. Each entry links to a detailed answer with explanations, hints, and source grade follow ups. See all in this format →

Sorted by community quality · refreshed as new questions are published.

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01
Fill in the scaled dot product attention formula.
Fill in BlankEasy
02
Fill in the typical canary traffic percentages and soak duration for a prompt rollout
Fill in BlankEasy
03
Each row of the post-softmax attention weight matrix corresponds to which side of the QK product?
Fill in BlankEasy
04
Fill in the Anthropic prompt caching primitive and its typical discount
Fill in BlankEasy
05
Complete the statement about where RLVR gets its reward signal
Fill in BlankEasy
06
Complete the path from token id to the vector that enters block 1
Fill in BlankEasy
07
Adam optimizer state per parameter: fill in the moment buffers and bytes
Fill in BlankEasy
08
Each decode step loads ___ from HBM, regardless of how many tokens have already been generated
Fill in BlankEasy
09
Complete the pre-norm transformer block recipe
Fill in BlankEasy
10
Complete the canonical attention formula: Attention(Q, K, V) = ___(QKᵀ / ___) · V
Fill in BlankEasy
11
Complete the identity: when do dot product and cosine coincide?
Fill in BlankEasy
12
Fill the two blanks in the standard reward model architecture statement
Fill in BlankEasy
13
Compute the effective batch from per device batch, accum steps, and GPU count
Fill in BlankEasy
14
Name the two ends of the retrieve then rerank funnel
Fill in BlankEasy
15
End to end latency: fill in the queue, prefill and decode components.
Fill in BlankEasy
16
Fill in the npm and pip package names for LangChain's OpenAI provider integration
Fill in BlankEasy
17
FLOPs vs FLOP/s: fill in the counts versus rate distinction.
Fill in BlankEasy
18
Fill in the memory delta when a 7B weight tensor moves from fp32 to bf16
Fill in BlankEasy
19
Given Q of shape (B, n_heads, T, d_head), the per head attention output before concatenation has shape ___.
Fill in BlankEasy
20
Decode Mixtral 8x7B: what do the numbers mean?
Fill in BlankEasy
21
Modern 7B class LLMs, fill in typical head counts and the resulting per head dimension
Fill in BlankEasy
22
Fill in the knobs: OpenAI effort levels vs Claude extended thinking budgets
Fill in BlankEasy
23
Fill in the SFT JSONL: the three required fields of a typical chat example.
Fill in BlankEasy
24
Fill in the OpenTelemetry GenAI attributes that record input and output token counts
Fill in BlankEasy
25
Fill in the failure mode high cardinality attributes cause in trace indexes
Fill in BlankEasy
26
Complete the RMSNorm formula
Fill in BlankEasy
27
Complete the dot product as cosine identity on unit vectors
Fill in BlankEasy
28
Identify the most common pooling strategy in SBERT family encoder embeddings
Fill in BlankEasy
29
Complete the router computation from hidden state to expert logits
Fill in BlankEasy
30
Fill in the safeguard that keeps words from vanishing at audio chunk boundaries
Fill in BlankEasy
31
Complete the definition: prompt engineering is the practice of designing the LLM's ___ to shape its output, without modifying model ___.
Fill in BlankEasy
32
Fill in the missing term in this description of how HNSW handles deletes.
Fill in BlankEasy
33
Complete the L2 normalization formula
Fill in BlankEasy
34
Complete the definition of Matryoshka representation learning
Fill in BlankEasy
35
Fill in the IVF nlist rule of thumb.
Fill in BlankEasy
36
Fill in the libraries used to measure context size before sending a call
Fill in BlankEasy
37
Fill the blank: for a single head, QK^T has shape (T_query, ___).
Fill in BlankEasy
38
Name the two properties softmax guarantees for every row of the attention weight matrix
Fill in BlankEasy
39
If d_model = 768 and num_heads = 12, what is d_head?
Fill in BlankEasy
40
Identify what a secrets scanner blocks in user input
Fill in BlankEasy
41
Compute the LoRA trainable param count for a 4096x4096 projection at rank r=8
Fill in BlankEasy
42
Fill in the DeepSpeed config keys that select a ZeRO stage
Fill in BlankEasy
43
Complete the Kaplan scaling law trend statement
Fill in BlankMedium
44
Complete the JSON-RPC 2.0 request structure used by MCP
Fill in BlankMedium
45
Fill in the blanks: RLVR reward source vs classic RLHF.
Fill in BlankMedium
46
Fill in the order of magnitude cost formula for a supervisor and workers run
Fill in BlankMedium
47
Fill in the LangGraph reducer choices for three classic state fields
Fill in BlankMedium
48
Fill in the LangGraph primitives that pause a graph for human input and resume it later
Fill in BlankMedium
49
Fill in the blanks: the special tokens that control sequence boundaries and conversation structure in modern LLMs.
Fill in BlankMedium
50
Fill in typical peak LRs for full FT, LoRA, and DPO
Fill in BlankMedium
51
Complete the Claude Desktop MCP server configuration fields
Fill in BlankMedium
52
Fill the conditions that preserve accumulation to large batch equivalence
Fill in BlankMedium
53
Complete the claim: the two axis decomposition of RAG eval that diagnoses which layer failed.
Fill in BlankMedium
54
Complete the Reciprocal Rank Fusion (RRF) score formula
Fill in BlankMedium
55
Identify the key difference between Word2Vec and SBERT style embeddings
Fill in BlankMedium
56
Fill in the blanks: query expansion / query rewriting in RAG and what it costs.
Fill in BlankMedium
57
Fill in the s1 budget forcing trick that stretches or stops thinking
Fill in BlankMedium
58
Complete: Cohen's kappa >___ is 'substantial' agreement; >___ is 'almost perfect' agreement
Fill in BlankMedium
59
Qwen 3.5 SFT data: fill the special tokens that wrap an assistant turn.
Fill in BlankMedium
60
Complete the key fields in a tools/list tool object and a tools/call request
Fill in BlankMedium
61
Fill in the tensor shapes as a batch flows through one transformer block
Fill in BlankMedium
62
Complete the per token KV cache memory formula
Fill in BlankMedium
63
Fill in the GRPO group relative advantage normalization step
Fill in BlankHard
64
Fill in the full FT memory contributions for a 7B model
Fill in BlankHard
65
Complete the Switch Transformer auxiliary load balancing loss formula.
Fill in BlankHard
66
Complete the correct MCP error response shape for a tool logic failure
Fill in BlankHard

66 of 100 requested: only 66 fill in blank questions so far.

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