Introduction-to-Cryptography Prüfungsaufgaben, Introduction-to-Cryptography Tests

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WGU Introduction-to-Cryptography Exam Syllabus Topics:

SectionObjectives
Topic 1: Applied Cryptography- PGP and Email Encryption
- VPN Security
- Cryptographic Best Practices
- SSL/TLS Protocols
Topic 2: Cryptography Fundamentals- Cryptographic Terminology
- History and Evolution of Cryptography
- Symmetric vs Asymmetric Encryption
Topic 3: Hashing and Digital Signatures- Message Authentication Codes (MAC)
- Hash Functions (MD5, SHA-1, SHA-256)
- Digital Signature Standards
Topic 4: Asymmetric Cryptography- RSA Algorithm
- Diffie-Hellman Key Exchange
- Elliptic Curve Cryptography (ECC)
- Public Key Infrastructure (PKI)
Topic 5: Symmetric Cryptography- Key Management
- Stream Ciphers
- Block Ciphers (AES, DES, 3DES)
- Initialization Vectors (IV)
Topic 6: Cryptanalysis and Attacks- Brute Force and Dictionary Attacks
- Common Attack Vectors
- Social Engineering Prevention

>> Introduction-to-Cryptography Prüfungsaufgaben <<

Introduction-to-Cryptography Test Dumps, Introduction-to-Cryptography VCE Engine Ausbildung, Introduction-to-Cryptography aktuelle Prüfung

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WGU Introduction to Cryptography HNO1 Introduction-to-Cryptography Prüfungsfragen mit Lösungen (Q88-Q93):

88. Frage
(Two people want to communicate through secure email. The person creating the email wants to ensure only their friend can decrypt the email. Which key should the person creating the email use to encrypt the message?)

Antwort: A

Begründung:
To ensure confidentiality so that only the intended recipient can decrypt an email, the sender must encrypt in a way that only the recipient can reverse. In public key cryptography, that means encrypting with the recipient's public key. The recipient is the only party who should possess the matching private key, so only they can decrypt the ciphertext. This pattern is fundamental to PKI-based secure email systems such as S/MIME and OpenPGP: the sender looks up or is provided the recipient's certificate/public key, encrypts the message (often by encrypting a randomly generated symmetric session key with the recipient's public key), and the recipient uses their private key to recover the session key and decrypt the content. Encrypting with the sender' s private key would not provide confidentiality; it resembles signing because anyone with the sender's public key could "decrypt" it. Encrypting with a private key of the recipient is also incorrect because private keys are not shared and should never leave the recipient's control. Therefore, the correct key to encrypt the message so only the friend can decrypt it is the recipient's public key.


89. Frage
(What are the roles of keys when using digital signatures?)

Antwort: A


90. Frage
(Why did the National Institute of Standards and Technology (NIST) choose Ascon for lightweight cryptography?)

Antwort: A

Begründung:
NIST's lightweight cryptography effort targets environments like IoT and embedded systems where CPU, memory, energy, and bandwidth are constrained, yet strong security is still required. Ascon is an authenticated encryption with associated data (AEAD) family designed to be efficient in both hardware and software with small footprint, making it well-suited for constrained devices. NIST selected Ascon because it offers a strong security design with good performance and implementability under tight resource budgets, while providing modern protections (confidentiality + integrity) through AEAD. That aligns with option C: secure and efficient encryption for resource-constrained devices. The selection was not primarily about authenticating users (that is typically handled by protocols and identity systems, not an AEAD primitive). It was also not mainly about legacy compatibility; lightweight cryptography aims at new and constrained deployments rather than preserving outdated stacks. And while Ascon can certainly be used to protect data at rest, that is only one application; the core reason for the choice is its suitability for constrained environments and robust, efficient authenticated encryption.


91. Frage
(Which of the following best describes lightweight cryptography?)

Antwort: A

Begründung:
Lightweight cryptography refers to cryptographic primitives and profiles engineered for environments where computational resources are constrained-limited CPU, memory, power, bandwidth, and code size-while still requiring robust security. Typical targets include IoT sensors, embedded controllers, smart cards, RFID, wearables, and many mobile or edge deployments. The design goals emphasize efficiency (low energy consumption, small silicon area for hardware, small firmware footprint) and practical performance under constraints, often while providing modern security properties like authenticated encryption (confidentiality + integrity) and secure hashing. Lightweight cryptography is not simply "stronger encryption"; it balances security with implementability in constrained systems. It is also not restricted to military settings and is not inherently outdated-many lightweight designs are modern and motivated by the rapid growth of IoT and pervasive computing. Because constrained devices are common entry points for attackers, having secure primitives that fit those devices is a critical part of contemporary security architecture. Therefore, the best description is cryptographic algorithms designed for resource-constrained environments.


92. Frage
(Which number generator has different results given the same input data?)

Antwort: A

Begründung:
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.


93. Frage
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