100% Pass Quiz 2026 WGU Introduction-to-Cryptography Perfect Latest Test Materials

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WGU Introduction to Cryptography HNO1 Sample Questions (Q93-Q98):

NEW QUESTION # 93
(Which authentication method allows a customer to authenticate to a web service?)

Answer: C

Explanation:
One-way client authentication is the method where the client (customer) proves its identity to the server (web service). In cryptographic terms, this is commonly implemented through client credentials such as client TLS certificates (mTLS from the server's perspective) or through authentication protocols layered over TLS (for example, signed tokens), but the defining direction is that the client is the party being authenticated. In a strict TLS certificate-authentication framing, client authentication occurs when the server requests a client certificate during the handshake and the client demonstrates possession of the corresponding private key (via signature in handshake messages). The server then validates the client certificate chain and authorization policy. One-way server authentication, by contrast, authenticates only the server to the client and does not identify the customer. Mutual authentication authenticates both sides simultaneously; while it includes client authentication, it is broader than what the question asks. "End-to-end authentication" describes assurance between endpoints across intermediaries, but it is not the specific "customer authenticates to service" method in certificate-based terminology. Therefore, the best answer is one-way client authentication.


NEW QUESTION # 94
(How are limits managed for the number of bitcoins that can be created and stored in a blockchain?)

Answer: A

Explanation:
Bitcoin's supply is controlled by protocol rules enforced by consensus: new bitcoins enter circulation through the block subsidy awarded to miners for producing valid blocks. This subsidy is programmed to halve at fixed intervals (every 210,000 blocks), which steadily reduces the rate of new coin creation over time and asymptotically approaches a capped total supply (commonly cited as 21 million BTC). This mechanism is often called the halving schedule and is the primary way limits are managed. The number of participants is not fixed; anyone can run a node or mine. There is no per-country cap and no per-person maximum enforced by the protocol-addresses and ownership are not limited that way. The supply cap emerges from the decreasing issuance schedule combined with consensus validation rules that reject blocks creating coins beyond what the schedule allows. Therefore, the correct answer is that limits are managed because rewards for mining reduce over time.


NEW QUESTION # 95
(What is the length of the Initialization Vector (IV) in WEP?)

Answer: A

Explanation:
WEP (Wired Equivalent Privacy) uses the RC4 stream cipher and combines a per-packet Initialization Vector (IV) with a shared secret key to form the RC4 seed for that packet's keystream. The IV in WEP is 24 bits long and is transmitted in the clear as part of the 802.11 frame so the receiver can reconstruct the same per-packet RC4 key stream. The short IV space (2²# possible values) is a major design weakness: on a busy network, IVs repeat frequently, causing keystream reuse. Because RC4 is a stream cipher, keystream reuse enables attackers to derive relationships between plaintexts and recover keys with statistical attacks (notably the Fluhrer, Mantin, and Shamir (FMS) family of attacks and related improvements). WEP also uses a CRC-32 integrity check (ICV) that is not cryptographically strong and is vulnerable to modification attacks. The 24-bit IV length is therefore a key reason WEP is considered insecure and has been replaced by WPA/WPA2 mechanisms that use stronger key mixing, larger nonces/IVs, and robust integrity protection.


NEW QUESTION # 96
(Which cryptographic operation uses a single key?)

Answer: A

Explanation:
Symmetric cryptography uses a single shared secret key for both encryption and decryption. This contrasts with asymmetric cryptography, which uses a key pair (public/private). Symmetric algorithms (like AES, ChaCha20) are efficient and well-suited for bulk data encryption, but they require a secure method for key distribution because both parties must possess the same secret. Hashing is not a keyed operation by default (though HMAC is keyed); it maps arbitrary data to a fixed-size digest and is primarily used for integrity checking, fingerprints, and password hashing constructions. Padding is a data formatting technique (e.g., PKCS#7) used to align plaintext to a block size; it is not a cryptographic "operation" that uses a key. Therefore, the cryptographic operation characterized by using one key shared between parties is symmetric encryption. In real systems, symmetric encryption is frequently combined with asymmetric methods for key exchange and with MACs/AEAD for integrity, producing the standard hybrid approach used in protocols like TLS and IPsec.


NEW QUESTION # 97
(Which number generator has different results given the same input data?)

Answer: B

Explanation:
A true random number generator (TRNG) produces outputs derived from nondeterministic physical processes (e.g., thermal noise, oscillator jitter, radioactive decay, or other hardware entropy sources). Because the underlying phenomenon is not algorithmically determined by an input seed in the same way as a PRNG, repeated "inputs" (or identical conditions from a software perspective) do not yield the same sequence; the outputs vary unpredictably. By contrast, a pseudorandom number generator (PRNG) is deterministic: given the same seed and internal state, it produces the same output sequence, which is useful for repeatability but means security depends on seed secrecy and proper seeding. "Prime" is not a generator type, and "sequence" is too generic and does not imply nondeterminism. In cryptographic systems, TRNGs (or hardware entropy sources) are often used to seed cryptographically secure PRNGs (CSPRNGs), combining high-quality entropy with efficient generation. Therefore, the generator that can produce different results for the "same input data" is a true random number generator.


NEW QUESTION # 98
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