Unit 2: Log and Network Traffic Analysis - Practice Quiz

INT244 — Securing Computing Systems 60 Questions
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1 What is the primary security role of log and event analysis?

Log and Event Analysis: role of log and event analysis Easy
A. Increasing processor clock speed
B. Designing physical network cables
C. Creating user interface layouts
D. Identifying suspicious system activity

2 Which technique links related events from multiple logs?

Log and Event Analysis: advanced log analysis techniques Easy
A. Event correlation
B. Password hashing
C. Disk formatting
D. Packet fragmentation

3 In log analysis, what is an anomaly?

Log and Event Analysis: detecting anomalies Easy
A. Activity that follows the usual pattern
B. A scheduled operating system update
C. A documented network configuration
D. Activity that differs from normal behavior

4 Why are logs from several systems often sent to a central platform?

Log and Event Analysis: integrating log analysis Easy
A. To simplify monitoring and correlation
B. To increase individual file sizes
C. To disable local user accounts
D. To replace all security policies

5 Which control best helps detect unauthorized changes to stored logs?

Log and Event Analysis: enhancing log data security Easy
A. Screen locking
B. File compression
C. Integrity checks
D. Traffic routing

6 What information is most useful for arranging attack events in the order they occurred?

Log and Event Analysis: reconstructing the attack chain Easy
A. Screen resolutions
B. Desktop themes
C. Accurate timestamps
D. Printer settings

7 How can an API support advanced threat detection?

Log and Event Analysis: APIs for advanced threat detection Easy
A. By cooling server processors
B. By replacing network hardware
C. By exchanging log and threat data
D. By repairing damaged storage

8 What is a main challenge of analyzing logs from different operating systems?

Log and Event Analysis: cross-platform log analysis Easy
A. They may use different log formats
B. They contain only network addresses
C. They cannot record security events
D. They always use identical timestamps

9 Which cloud log pattern may indicate cryptojacking?

Log and Event Analysis: spotting cloud cryptojacking Easy
A. Regular successful backups
B. Sustained unusual CPU usage
C. Planned storage expansion
D. Normal employee sign-ins

10 Which platform commonly integrates and analyzes logs from many security sources?

Log and Event Analysis: integration of log analysis Easy
A. Word processor
B. SIEM platform
C. Graphics editor
D. Print server

11 Which measure helps evaluate how well a log analysis system detects real threats?

Log and Event Analysis: evaluating log analysis Easy
A. Keyboard response rate
B. True positive rate
C. Printer output rate
D. Monitor refresh rate

12 What does traffic normalization do before network data is analyzed?

Network Traffic Analysis: traffic segmentation and normalization Easy
A. Converts data into a consistent form
B. Deletes every encrypted network packet
C. Increases the speed of processors
D. Assigns passwords to network devices

13 How does threat intelligence improve network traffic analysis?

Network Traffic Analysis: threat intelligence integration Easy
A. It provides known malicious indicators
B. It automatically expands disk capacity
C. It physically replaces damaged switches
D. It creates stronger wireless signals

14 What does contextual protocol analysis examine?

Network Traffic Analysis: contextual protocol analysis Easy
A. Whether protocol use fits its context
B. Whether users own mobile devices
C. Whether monitors display correct colors
D. Whether files have identical names

15 What is the main difference between a NIDS and a NIPS?

Network Traffic Analysis: NIDS/NIPS Easy
A. A NIDS alerts, while a NIPS can block
B. A NIDS routes, while a NIPS switches
C. A NIDS encrypts, while a NIPS decrypts
D. A NIDS stores, while a NIPS compresses

16 Why is vulnerability validation performed after a scanner reports a weakness?

Network Traffic Analysis: vulnerability validation Easy
A. To remove all network monitoring
B. To rename every affected device
C. To increase the number of alerts
D. To confirm the weakness is genuine

17 In network analysis, what is a jarring signal?

Network Traffic Analysis: analyzing jarring signals Easy
A. A scheduled update to network devices
B. A routine pattern of approved traffic
C. A standard response from a server
D. An abrupt deviation from normal traffic

18 What is the purpose of modelling normal protocol behavior?

Network Traffic Analysis: modelling protocol behavior Easy
A. To replace authentication mechanisms
B. To increase physical storage capacity
C. To select colors for network diagrams
D. To identify unusual protocol activity

19 Which event is most likely to be flagged as an authentication anomaly?

Log and Event Analysis: detecting anomalies Easy
A. One scheduled account permissions review
B. One approved change to a password
C. Many failed logins within one minute
D. One successful login during work hours

20 Where is a network intrusion detection system commonly placed?

Network Traffic Analysis: NIDS/NIPS Easy
A. Inside an offline document file
B. At a point where it can observe traffic
C. Within a disconnected power supply
D. Under a user's keyboard tray

21 A user account successfully signs in from two distant countries within 15 minutes. Which use of log and event analysis best helps identify this incident?

Log and Event Analysis: role of log and event analysis Medium
A. Compressing authentication logs at the end of each day
B. Correlating authentication events with location and time data
C. Deleting successful sign-in events after account verification
D. Grouping authentication events only by operating system

22 An analyst must find a coordinated attack distributed across millions of DNS, proxy, and endpoint events. Which technique is most appropriate?

Log and Event Analysis: advanced log analysis techniques Medium
A. Sorting every event alphabetically by its message field
B. Reviewing a random sample from each log source
C. Counting only the total events produced each hour
D. Correlating events by host, user, domain, and timestamp

23 A database server normally produces 20 to 40 failed logins per hour. It suddenly records 600 failed logins from one source in an hour. Which detection method best identifies this activity?

Log and Event Analysis: detecting anomalies Medium
A. A baseline-based alert for abnormal authentication volume
B. A retention rule for removing old authentication records
C. A parser that converts timestamps to a common format
D. A signature matching a specific malware file hash

24 A SIEM receives firewall logs in UTC and application logs in local time. Correlation rules frequently place related events in the wrong order. What should be done first?

Log and Event Analysis: integrating log analysis Medium
A. Separate application and firewall logs into different consoles
B. Increase the storage capacity assigned to the SIEM
C. Normalize all event timestamps to a common time standard
D. Suppress firewall events that have repeated source addresses

25 An organization needs evidence that archived audit logs have not been modified after collection. Which control most directly provides this assurance?

Log and Event Analysis: enhancing log data security Medium
A. Digitally signing log batches and verifying their hashes
B. Compressing log batches before transferring them to storage
C. Indexing log fields to improve the speed of searches
D. Renaming log files according to their collection dates

26 Logs show a phishing attachment opening at 09:10, a PowerShell process starting at 09:12, and an outbound connection beginning at 09:13. What is the best next step when reconstructing the attack chain?

Log and Event Analysis: reconstructing the attack chain Medium
A. Treat each event as an unrelated alert from its own source
B. Link the events using host, user, process, and timestamp data
C. Use only the outbound connection to classify the incident
D. Discard the phishing event because it occurred first

27 A detection service must enrich newly observed file hashes by querying a threat-intelligence API. Which design best reduces unnecessary API requests?

Log and Event Analysis: APIs for advanced threat detection Medium
A. Cache prior results and query only unknown or expired hashes
B. Query every stored hash whenever any new event arrives
C. Disable local matching before requesting external intelligence
D. Send complete raw log files with each individual hash request

28 Windows records a username as DOMAIN\\alex, while a Linux application records the same person as alex@example.com. What enables reliable cross-platform correlation?

Log and Event Analysis: cross-platform log analysis Medium
A. Mapping both identifiers to a canonical user identity
B. Keeping each identifier unchanged in a separate index
C. Correlating users only when their raw strings are identical
D. Removing domain information from every authentication event

29 A cloud workload shows sustained 95% CPU usage, newly created compute instances, and outbound connections to known mining pools. Which conclusion is best supported?

Log and Event Analysis: spotting cloud cryptojacking Medium
A. The environment may be affected by cloud cryptojacking
B. The environment is completing a routine storage backup
C. The environment is applying a standard access-control update
D. The environment is experiencing only a DNS configuration error

30 A security team wants a high-confidence alert when a disabled employee account authenticates to a sensitive application. Which integration is most useful?

Log and Event Analysis: integration of log analysis Medium
A. Combine DNS cache, storage capacity, and temperature logs
B. Combine browser history, patch size, and bandwidth summaries
C. Combine printer status, asset age, and software license logs
D. Combine identity status, authentication, and application logs

31 During validation, a detection rule generates 120 alerts. Investigation confirms that 30 alerts represent real attacks. What is the rule's precision?

Log and Event Analysis: evaluating log analysis Medium
A.
B.
C.
D.

32 An analyst compares HTTP activity captured on internal, guest, and server network segments. Before applying one detection rule to all captures, what is most important?

Network Traffic Analysis: traffic segmentation and normalization Medium
A. Normalize protocol fields while preserving segment context
B. Retain only payloads from the busiest network segment
C. Convert all source addresses into one shared address
D. Merge all packets and remove their interface identifiers

33 A threat feed lists an IP address as malicious, but the address was last observed two years ago and now belongs to a large hosting provider. How should the indicator be used?

Network Traffic Analysis: threat intelligence integration Medium
A. Score it using age, confidence, ownership, and local evidence
B. Block it permanently because it appeared in one threat feed
C. Treat every connection to it as a confirmed compromise
D. Ignore all IP indicators from public hosting providers

34 A workstation sends an HTTP POST request containing a large encoded payload to a domain it has never contacted before. Which additional context would most improve analysis?

Network Traffic Analysis: contextual protocol analysis Medium
A. The process making the request and the domain's reputation
B. The workstation's monitor size and keyboard layout
C. The switch model and the rack's physical location
D. The user's printer queue and default document format

35 A company must stop a known exploit before it reaches a public web server, but it also wants to avoid blocking unrelated traffic. Which deployment is most appropriate?

Network Traffic Analysis: NIDS/NIPS Medium
A. A passive NIDS with all alert generation disabled
B. An inline NIPS with a narrowly tuned exploit signature
C. A packet recorder with no detection or response rules
D. A flow collector configured only for monthly reporting

36 A scanner reports that an internal server is vulnerable to an obsolete TLS cipher. Which traffic evidence best validates that the weakness is actually being used?

Network Traffic Analysis: vulnerability validation Medium
A. A DNS request resolving the server's registered hostname
B. An ARP response containing the server's hardware address
C. A completed TLS handshake negotiating the obsolete cipher
D. A TCP reset sent after an unrelated connection attempt

37 A network sensor observes a finance workstation making periodic DNS queries with unusually long, high-entropy subdomain labels. Why is this a jarring signal?

Network Traffic Analysis: analyzing jarring signals Medium
A. It indicates that the DNS resolver has exhausted its address pool
B. It proves that the workstation is receiving legitimate software updates
C. It sharply differs from normal DNS behavior and may indicate tunneling
D. It confirms that encrypted web traffic is using certificate pinning

38 A model of normal SMB behavior shows that employee workstations contact two file servers during business hours. A workstation begins initiating SMB sessions with 80 peers overnight. What should the model flag?

Network Traffic Analysis: modelling protocol behavior Medium
A. A routine name-resolution exchange between approved servers
B. A possible lateral-movement or worm-propagation pattern
C. A scheduled email synchronization with a mail gateway
D. A normal increase in encrypted web-browsing activity

39 A service account normally accesses one database from a fixed application server. It begins accessing several file shares from an employee laptop. Which feature combination is most useful for anomaly detection?

Log and Event Analysis: detecting anomalies Medium
A. Account, source device, resource type, and access time
B. Log filename, archive size, compression ratio, and disk model
C. Packet checksum, cable category, rack number, and fan speed
D. Screen resolution, browser theme, font size, and locale

40 After placing a new NIPS inline, legitimate application requests are blocked because they resemble an attack signature. What is the best immediate corrective action?

Network Traffic Analysis: NIDS/NIPS Medium
A. Block the entire application subnet at the perimeter
B. Disable logging while leaving the blocking rule unchanged
C. Increase the rule's severity without changing its logic
D. Review matching packets and tune the rule's conditions

41 A forensic team correlates authentication, endpoint, and firewall logs after a breach. The systems use unsynchronized clocks, with observed offsets ranging from -4 to +7 minutes. Which approach best supports a defensible reconstruction of event causality?

Log and Event Analysis: role of log and event analysis Hard
A. Discard records from hosts whose clocks differ by more than one minute
B. Normalize timestamps using measured clock offsets and corroborate ordering with causal identifiers
C. Sort all records by their original timestamps and treat simultaneous events as unrelated
D. Replace timestamps with ingestion times and order events by SIEM arrival sequence

42 An enterprise has millions of common PowerShell events and a small number of legitimate administrative scripts. Which analytic is most likely to identify malicious PowerShell without relying only on known command signatures?

Log and Event Analysis: advanced log analysis techniques Hard
A. Rank encoded commands by length and alert whenever a fixed threshold is exceeded
B. Suppress signed scripts and inspect only commands executed from temporary directories
C. Correlate rare command features with unusual parent processes, users, and destinations
D. Count PowerShell launches per host and alert on the highest-volume workstation

43 A cloud backup service produces high outbound traffic every Sunday night and during irregular disaster-recovery tests. A static threshold generates repeated false positives. Which model is most appropriate?

Log and Event Analysis: detecting anomalies Hard
A. A fixed percentile threshold recalculated from only the preceding twenty-four hours
B. A seasonal baseline with workload-specific context and explicit maintenance indicators
C. A signature model that alerts only when known malicious IP addresses are contacted
D. A global z-score model trained on the combined traffic of every cloud workload

44 A SIEM receives Windows, Linux, SaaS, and network logs whose fields represent identities differently. Which ingestion design best preserves forensic value while enabling reliable correlation?

Log and Event Analysis: integrating log analysis Hard
A. Retain only vendor-normalized records because raw formats prevent cross-source searches
B. Convert every event into one minimal schema and discard all unmapped source fields
C. Store raw events immutably while mapping normalized fields with source-aware semantics
D. Index each source independently and correlate records through timestamp equality alone

45 Administrators of a compromised host may modify both local logs and the log-forwarding agent. Which control most strongly supports later detection of selective log deletion or alteration?

Log and Event Analysis: enhancing log data security Hard
A. Compress each log file before transferring it to centralized object storage
B. Encrypt log files with a key stored in the monitored host's configuration
C. Hash-chain ordered events and periodically anchor signed checkpoints externally
D. Restrict SIEM searches through role-based access and quarterly permission reviews

46 Logs show a malicious document, a scripting-engine launch, credential access, and remote service creation. Several users opened identical documents. Which evidence most reliably links these events into one attack chain?

Log and Event Analysis: reconstructing the attack chain Hard
A. Shared process ancestry, logon sessions, file hashes, and authenticated network flows
B. Matching event timestamps rounded to the nearest minute across all affected systems
C. Identical severity labels assigned independently by endpoint and network products
D. A common username appearing anywhere within each host's daily security logs

47 A detection service polls an endpoint telemetry API that uses pagination and eventually consistent indexing. Events may appear late or be returned twice. Which collection strategy best prevents missed detections and duplicate processing?

Log and Event Analysis: APIs for advanced threat detection Hard
A. Increase polling frequency and assume pagination order is stable across API requests
B. Advance the cursor to the request time and reject events older than the previous poll
C. Use overlapping event-time windows, stable event IDs, deduplication, and a delayed watermark
D. Request only the newest page and overwrite records sharing the same endpoint hostname

48 The same employee appears as CORP\\jlee in Windows logs, jlee@example.com in SaaS audit logs, and an immutable UUID in an identity provider. How should a cross-platform analytic correlate this activity?

Log and Event Analysis: cross-platform log analysis Hard
A. Use email addresses as permanent keys because they are globally unique and readable
B. Lowercase every identity string and join events whenever the resulting names match
C. Resolve source identities through time-bounded mappings to a canonical immutable entity
D. Join identities only when source IP addresses and displayed usernames are identical

49 A Kubernetes cluster shows sustained CPU saturation, but network flow logs reveal only approved registries and internal services. Which additional evidence most strongly distinguishes cryptojacking from legitimate batch computation?

Log and Event Analysis: spotting cloud cryptojacking Hard
A. High processor utilization occurring on nodes with recently updated operating systems
B. Unexpected image execution plus mining-pool protocol indicators and unauthorized scaling changes
C. Repeated container restarts following ordinary node autoscaling and maintenance events
D. A deployment label identifying the namespace as production rather than development

50 A high-confidence SIEM rule automatically disables user accounts through a SOAR platform. During testing, duplicated alerts trigger repeated disable and enable actions. Which integration property should be added first?

Log and Event Analysis: integration of log analysis Hard
A. Higher SIEM retention so duplicated alerts remain searchable for several years
B. Longer alert descriptions containing every raw event used by the correlation rule
C. Idempotent response actions keyed by incident identity and current account state
D. Parallel playbook execution across regions without sharing incident state

51 Two detectors are tested against a highly imbalanced dataset containing 100 attacks and 99,900 benign sessions. Detector X has 99.5% accuracy but catches 20 attacks; Detector Y has 98.5% accuracy and catches 90 attacks. Which evaluation is most appropriate?

Log and Event Analysis: evaluating log analysis Hard
A. Select Detector X because overall accuracy dominates all other metrics at scale
B. Compare ROC curves only because class imbalance cannot influence their interpretation
C. Compare precision-recall behavior and response cost at operational decision thresholds
D. Select Detector Y because recall alone fully captures analyst workload and business risk

52 Sensors on both sides of a load balancer observe overlapping traffic, while asymmetric routing causes some sensors to see only one direction. Which pipeline best prepares the traffic for behavioral analysis?

Network Traffic Analysis: traffic segmentation and normalization Hard
A. Analyze each packet independently so missing directions cannot affect reconstructed sessions
B. Retain only internal sensor data because translated addresses invalidate external observations
C. Merge packets by capture time and discard every flow lacking a complete TCP handshake
D. Deduplicate observations, preserve sensor provenance, and normalize flows with partial-state flags

53 A threat feed marks an IP address as command-and-control infrastructure, but the address belongs to a large cloud provider and changes tenants frequently. What is the best way to operationalize this indicator?

Network Traffic Analysis: threat intelligence integration Hard
A. Alert only when the address appears in at least three independent commercial intelligence feeds
B. Block the address permanently because command-and-control indicators require immediate enforcement
C. Ignore all cloud-hosted indicators because shared infrastructure cannot support attribution
D. Correlate the indicator's validity interval, confidence, ownership, and local connection context

54 A DNS response contains a low-TTL TXT record with a large encoded payload. Similar records are used legitimately for email authentication. Which analysis most reliably identifies possible DNS tunneling?

Network Traffic Analysis: contextual protocol analysis Hard
A. Evaluate query entropy, subdomain uniqueness, directionality, cadence, and host role together
B. Treat low TTL values as malicious unless the queried domain belongs to an internal zone
C. Alert whenever a recursive resolver returns more than one TXT value for a domain
D. Block every TXT response whose payload exceeds the organization's median DNS response size

55 An attacker sends overlapping IP fragments that an endpoint and an inline NIPS may reassemble differently. Which defensive behavior most directly addresses this evasion technique?

Network Traffic Analysis: NIDS/NIPS Hard
A. Inspect each fragment independently and alert only when one contains a complete signature
B. Drop fragmented traffic only when its source address appears on a threat intelligence list
C. Forward all fragments unchanged and compare their aggregate byte count with the IP length
D. Normalize or reassemble traffic according to the protected endpoint's interpretation policy

56 A scanner reports a critical web-server vulnerability on a public virtual IP. Packet analysis shows requests are terminated by a reverse proxy before reaching one of several backends. What evidence best validates actual exploitability?

Network Traffic Analysis: vulnerability validation Hard
A. A confirmed vulnerable backend path plus proxy behavior that permits the exploit sequence
B. The virtual IP's exposure to the internet and the presence of ordinary HTTP response traffic
C. A backend software inventory entry created before the most recent maintenance window
D. The scanner's banner match combined with the published severity score for the vulnerability

57 A workstation normally communicates with SaaS services through an authenticated proxy. It suddenly begins sending periodic direct TLS connections to a newly registered domain, but each flow is small. Which feature combination makes this signal most concerning?

Network Traffic Analysis: analyzing jarring signals Hard
A. Repeated connections, short flow duration, and a destination with multiple DNS addresses
B. Proxy bypass, regular beacon timing, new-domain age, and deviation from the host's peer graph
C. Small payloads, standard destination ports, and certificates issued by a public authority
D. Low bandwidth, successful TLS handshakes, and a destination hosted outside the organization

58 A detector must identify misuse of an industrial protocol in which each command is legal individually, but commands become dangerous when issued in the wrong operational phase. Which model is best suited to this requirement?

Network Traffic Analysis: modelling protocol behavior Hard
A. A stateful protocol model representing legal transitions, roles, commands, and timing constraints
B. A destination-port allowlist that treats all traffic on the assigned port as protocol compliant
C. A packet-size threshold computed independently for each observed source address
D. A byte-frequency model trained on payloads without preserving packet or session order

59 A sequence rule searches for login failure, login success, privilege escalation, and data access within ten minutes. Because events arrive late, the SIEM sometimes correlates unrelated sessions or misses valid chains. Which redesign best addresses both problems?

Log and Event Analysis: advanced log analysis techniques Hard
A. Remove the time constraint and require only that all four event types occur each day
B. Sort events by severity and correlate them whenever they share a destination hostname
C. Use event-time windows, bounded lateness, and joins scoped by user, host, and session
D. Use ingestion-time ordering and increase the window until all delayed events are included

60 An inline NIPS protects a latency-sensitive payment service. A new rule detects a serious exploit but has an uncertain false-positive rate. Which deployment sequence best balances protection and availability?

Network Traffic Analysis: NIDS/NIPS Hard
A. Run the rule in alert mode, validate representative traffic, then apply scoped blocking with rollback
B. Deploy the rule only to the passive NIDS because inline controls should never inspect payments
C. Disable stream reassembly so the rule evaluates fewer packets and introduces less latency
D. Enable blocking globally, then disable the rule only after confirmed service interruptions